Python/tutorials/Point_Sample_AppEEARS_S3_Direct_Access.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4f3ad1a2-0848-49ea-8db6-1bf96e440148",
   "metadata": {},
   "source": [
    "# Working with AρρEEARS Point Sample CSV outputs in AWS\n",
    "\n",
    "This tutorial demonstrates how to access AρρEEARS point sample Comma-Separated Values (CSV) outputs direcly from the cloud. NASA's Application for Extracting and Exploring Analysis Ready Samples ([AρρEEARS](https://appeears.earthdatacloud.nasa.gov/)) has been migrated to NASA's Earthdata Cloud space located in **AWS us-west 2**. This enables users working in cloud instance deployed in **AWS us-west 2** to access outputs direcly in the cloud using S3 link returned by AρρEEARS. In this tutorial, we will walk through the process of submitting a point sample and accessing a CSV outputs from AρρEEARS.  \n",
    "\n",
    "## Requirements  \n",
    "\n",
    "- Earthdata Login Authentication is required to access the AρρEEARS API and AρρEEARS outputs. If you do not have an account, create an account [here](https://urs.earthdata.nasa.gov/users/new).  \n",
    "\n",
    "## Learning Objectives  \n",
    "\n",
    "- Learn how to access AρρEEARS point sample CSV outputs in AWS.  \n",
    "\n",
    "## Tutorial Outline \n",
    "\n",
    "1. Setting up  \n",
    "2. Submit a point request  \n",
    "3. Extract the S3 links to data in S3  \n",
    "4. Create a `boto3` Refreshable Session  \n",
    "5. Direct S3 access of CSV output  \n",
    "6. Quality Filtering  \n",
    "7. Explore the LST time series   \n",
    "    "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "eac8116b-dbba-4110-9127-ab0268d6f72d",
   "metadata": {},
   "source": [
    "## 1. Setting up  \n",
    "\n",
    "Import required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "11768894-1829-429d-8eae-a82fd1afc125",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "  var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
       "  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
       "  var reloading = false;\n",
       "  var Bokeh = root.Bokeh;\n",
       "  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks;\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "    if (js_exports == null) js_exports = {};\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    if (!reloading) {\n",
       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    }\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "    window._bokeh_on_load = on_load\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"jspanel\"], function(jsPanel) {\n",
       "\twindow.jsPanel = jsPanel\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-modal\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-tooltip\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-hint\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-layout\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-contextmenu\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-dock\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 9;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
       "    }\n",
       "\n",
       "    var existing_stylesheets = []\n",
       "    var links = document.getElementsByTagName('link')\n",
       "    for (var i = 0; i < links.length; i++) {\n",
       "      var link = links[i]\n",
       "      if (link.href != null) {\n",
       "\texisting_stylesheets.push(link.href)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    var existing_scripts = []\n",
       "    var scripts = document.getElementsByTagName('script')\n",
       "    for (var i = 0; i < scripts.length; i++) {\n",
       "      var script = scripts[i]\n",
       "      if (script.src != null) {\n",
       "\texisting_scripts.push(script.src)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (const name in js_exports) {\n",
       "      var url = js_exports[name];\n",
       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      element.textContent = `\n",
       "      import ${name} from \"${url}\"\n",
       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
       "      `\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
       "      on_load()\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/panel.min.js\"];\n",
       "  var js_modules = [];\n",
       "  var js_exports = {};\n",
       "  var css_urls = [];\n",
       "  var inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }\n",
       "      // Cache old bokeh versions\n",
       "      if (Bokeh != undefined && !reloading) {\n",
       "\tvar NewBokeh = root.Bokeh;\n",
       "\tif (Bokeh.versions === undefined) {\n",
       "\t  Bokeh.versions = new Map();\n",
       "\t}\n",
       "\tif (NewBokeh.version !== Bokeh.version) {\n",
       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
       "\t}\n",
       "\troot.Bokeh = Bokeh;\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "    root._bokeh_is_initializing = false\n",
       "  }\n",
       "\n",
       "  function load_or_wait() {\n",
       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
       "    // versions of Bokeh and its dependencies at the same time.\n",
       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
       "    // to determine whether there is an ongoing attempt to initialize\n",
       "    // bokeh, however for backward compatibility we also try to ensure\n",
       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
       "    // before older versions are fully initialized.\n",
       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
       "      setTimeout(load_or_wait, 100);\n",
       "    } else {\n",
       "      Bokeh = root.Bokeh;\n",
       "      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      root._bokeh_is_initializing = true\n",
       "      root._bokeh_onload_callbacks = []\n",
       "      if (!reloading && (!bokeh_loaded || is_dev)) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "  // Give older versions of the autoload script a head-start to ensure\n",
       "  // they initialize before we start loading newer version.\n",
       "  setTimeout(load_or_wait, 100)\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 9;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import requests\n",
    "import numpy\n",
    "import datetime\n",
    "import os\n",
    "import requests\n",
    "from netrc import netrc\n",
    "from pathlib import Path\n",
    "from datetime import datetime, timezone\n",
    "from botocore.client import Config\n",
    "import pandas\n",
    "import hvplot.pandas\n",
    "import time\n",
    "import warnings\n",
    "import sys\n",
    "sys.path.append('../modules/')\n",
    "import aws_session\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2cc6196e-5438-486b-87a3-4b291c7db99b",
   "metadata": {},
   "source": [
    "To successfully run this tutorial, it is required to create a **.netrc** file in your home directory. The function `_validate_netrc` defined in `aws_session` module checks if a properly formatted netrc file exists in your home directory. If the netrc file does not exist, it will prompt you for your Earthdata Login username and password and will create a netrc file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1478c8a0-8325-4474-a88f-86d7a6d33f04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO : netrc file is setup for urs.earthdata.nasa.gov already ...\n"
     ]
    }
   ],
   "source": [
    "# validate if netrc file is present else create one via the user / password prompt for the urs.earthdata.nasa.gov\n",
    "aws_session._validate_netrc()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "112209ec-24e9-494e-8db1-3e87b0bbf88d",
   "metadata": {},
   "source": [
    "## 2. Submit a point request in AρρEEARS \n",
    "In this step, we are going to submit a point request. You can also submit the same request to the [AρρEEARS Graphic User Interface (GUI)](https://appeears.earthdatacloud.nasa.gov/task/point) by uploading the JSON file provided in the repository (AppEEARS-Data-Resources/Data/point-request.json). If you have completed the request, save your `task_id` to a variable, skip this step, and move to the next step of tutorial.  "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "204f47c6-1e57-47ef-99fc-7ee785bda91a",
   "metadata": {
    "tags": []
   },
   "source": [
    "Assign the AρρEEARS API endpoint to a variable. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4a6cda95-ec73-47fa-a161-3ac0855b1d51",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "appeears_API_endpoint = 'https://appeears.earthdatacloud.nasa.gov/api/'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "473a7d23-5a70-463b-aea5-9d7d7d87f22c",
   "metadata": {},
   "source": [
    "A **Bearer Token** is needed to submit requests to the AρρEEARS API. To generated a token, a `POST` request containing Earthdata Login credentials stored in **.netrc** file is passed to the [`login`](https://appeears.earthdatacloud.nasa.gov/api/#authentication) service. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c98d105d-4d77-4241-8dd7-5b02e5a3fba0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "urs = 'urs.earthdata.nasa.gov'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8d41ff3f-44d9-401b-a0c3-2fe58bc21692",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token_type': 'Bearer',\n",
       " 'token': '3B4bfEhJGpIEEKwM8G8S7exFXRScIFLN8EmQ4xBF2NMtoWTppdJb8WV2ifMQqqNxvbeQsSN-N_TZTIwWybwYUA',\n",
       " 'expiration': '2024-04-12T13:26:56Z'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token_response = requests.post('{}login'.format(appeears_API_endpoint), auth = (netrc().authenticators(urs)[0],netrc().authenticators(urs)[2])).json() # Insert API URL, call login service, provide credentials & return json \n",
    "token_response"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "36c9dcd2-fbe3-42cb-b5bb-4d856346ef6e",
   "metadata": {},
   "source": [
    "We'll save the **token** to an **Authorization** object we can pass in the header of any request made to the AppEEARS API."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e5c7f3fa-706b-4246-a0fc-d8bdfcd1c5f0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "token = token_response['token']                      # Save login token to a variable\n",
    "head = {'Authorization': 'Bearer {}'.format(token)}  # Create a header to store token information, needed to submit a request"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8b540fd7-4180-4fc5-9c5a-7b59fbf61c6f",
   "metadata": {},
   "source": [
    "The payload for an AppEEARS API request is a JSON object. Here, we compile the request JSON object with the required parameters. The coordinates (i.e., lat/lon pair) for where the LP DAAC is located are used as our point location. The data layers `LST_Night_1km` and `LST_Day_1km` from `MOD11A1` version 6.1 are selected below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "730d7b6a-3fc2-48d6-8b68-7d00f84758e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "task_name = \"EROS\"\n",
    "task_type = 'point'             # Type of task, area or point\n",
    "startDate = '01-01-2015'        # Start of the date range for which to extract data: MM-DD-YYYY\n",
    "endDate = '03-01-2023'          # End of the date range for which to extract data: MM-DD-YYYY\n",
    "lat =  [43.736038]\n",
    "lon = [-96.62139]\n",
    "prodLayer = [\n",
    "    {\"layer\": \"LST_Day_1km\", \"product\": \"MOD11A1.061\"}, \n",
    "    {\"layer\": \"LST_Night_1km\", \"product\": \"MOD11A1.061\"}\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "efeb703c-d3f5-4c08-b188-a7d370cdb301",
   "metadata": {},
   "outputs": [],
   "source": [
    "task = {\n",
    "    'task_type': task_type,\n",
    "    'task_name': task_name,\n",
    "    'params': {\n",
    "         'dates': [\n",
    "         {\n",
    "             'startDate': startDate,\n",
    "             'endDate': endDate\n",
    "         }],\n",
    "         'layers': prodLayer,\n",
    "         'coordinates': [\n",
    "             {\n",
    "                 'latitude': lat[0],\n",
    "                 'longitude': lon[0],\n",
    "                 'id': \"EROS\" \n",
    "             }]        \n",
    "    }\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3a840c43-7382-4843-beb5-004f5dcb623d",
   "metadata": {},
   "source": [
    "Now that we have our request object, or payload, create, we will now submit to AρρEEARS using the `post` function from `requests` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "543a7334-02b2-4385-9762-d8730099623b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task_id': 'd32a4be3-ac6e-4247-afa0-a28bf57f46bd', 'status': 'pending'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "task_response = requests.post('{}task'.format(appeears_API_endpoint), json=task, headers=head).json()   # Post json to the API task service, return response as json\n",
    "task_response"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2b9cc951-4356-4724-bcc3-ef00b80d4613",
   "metadata": {},
   "source": [
    "The `task_id` will be needed to get status information about the request and to later find the AρρEEARS outputs for the request. We will save the `task_id` to a variable and wait until our request is processed and complete. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de2738dc-5ba5-4b53-a79e-2b2a0c4ada96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'d32a4be3-ac6e-4247-afa0-a28bf57f46bd'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "task_id = task_response['task_id']\n",
    "task_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "439a8ea4-7bc2-46e6-9eb6-efe7e7454194",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "queued\n",
      "processing\n",
      "processing\n",
      "processing\n",
      "processing\n",
      "processing\n",
      "done\n"
     ]
    }
   ],
   "source": [
    "# Ping API until request is complete, then continue to Section 3\n",
    "while requests.get('{}task/{}'.format(appeears_API_endpoint, task_id), headers=head).json()['status'] != 'done':\n",
    "    print(requests.get('{}task/{}'.format(appeears_API_endpoint, task_id), headers=head).json()['status'])\n",
    "    time.sleep(60)\n",
    "print(requests.get('{}task/{}'.format(appeears_API_endpoint, task_id), headers=head).json()['status'])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "70aa7a18-5182-4787-b753-5fd295700778",
   "metadata": {},
   "source": [
    "## 3. Extract the Direct S3 links"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b7b44fd5-3cce-4288-96d2-5175146d834e",
   "metadata": {},
   "source": [
    "Once our outputs are ready, we can get the information about our output files, also refered to as a bundle. If you submitted your request using AρρEEARS GUI, assign your sample's `task_id` to the variable `task_id` below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "40c01559-d4a6-4e14-a83e-2b2b973b4e96",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#task_id = '<ADD REQUEST ID HERE>'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0d41ac89-cfc6-4411-bb1d-84c743bcd316",
   "metadata": {},
   "source": [
    "`requests.get` is used to get information about our bundle. The bundle information includes `s3_url` in addition to the other information such as `file_name`, `file_id`, and `file_type`.  \n",
    "\n",
    "Each output file can be downloaded using the `file_id` (see section 4 in [AppEEARS_API_Point.ipynb](AppEEARS_API_Point.ipynb). Since AρρEEARS outputs are stored in an S3 bucket, outputs can also be accessed using `S3_url` if you are working from an cloud instance in **AWS us-west-2**. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "010b3041-eaf8-47a0-b327-30beb49ec6d9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'files': [{'sha256': '2d217eb9d967d849212bf6702a91e3fd615a7188cba72bf58e0b4d9849417865',\n",
       "   'file_id': '71ee2606-8e24-4bc7-93a4-9e3431087ca5',\n",
       "   'file_name': 'EROS-MOD11A1-061-results.csv',\n",
       "   'file_size': 1168238,\n",
       "   'file_type': 'csv',\n",
       "   's3_url': 's3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-MOD11A1-061-results.csv'},\n",
       "  {'sha256': '70dc8abc16c8368f6926f735f5f9057c27338a41f77165e648c600185acdff39',\n",
       "   'file_id': '2c75ccff-430c-475a-9e37-50429bbe6cfc',\n",
       "   'file_name': 'EROS-granule-list.txt',\n",
       "   'file_size': 479520,\n",
       "   'file_type': 'txt',\n",
       "   's3_url': 's3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-granule-list.txt'},\n",
       "  {'sha256': '7db425fb7a6f26c4a652226e587488a69e234b5d0ab98a6d79d24943abc77ea2',\n",
       "   'file_id': '205e0462-cbde-4a52-b152-25b4a8971d57',\n",
       "   'file_name': 'EROS-request.json',\n",
       "   'file_size': 764,\n",
       "   'file_type': 'json',\n",
       "   's3_url': 's3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-request.json'},\n",
       "  {'sha256': 'e5c1bad1bcbbd9ef4a1d0abc32eca05dbd9db8d7824c90eaf7af23fb0de384dd',\n",
       "   'file_id': '34022635-d182-4a66-8203-9086733d3f87',\n",
       "   'file_name': 'EROS-MOD11A1-061-metadata.xml',\n",
       "   'file_size': 16808,\n",
       "   'file_type': 'xml',\n",
       "   's3_url': 's3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-MOD11A1-061-metadata.xml'},\n",
       "  {'sha256': '0324b583ba05319cecd1556d2d4e331d52240a3223409f8367dcb1d6f38b6cff',\n",
       "   'file_id': 'ca9a89de-053b-4b86-b6e1-ff2fb19321e9',\n",
       "   'file_name': 'README.md',\n",
       "   'file_size': 25001,\n",
       "   'file_type': 'txt',\n",
       "   's3_url': 's3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/README.md'}],\n",
       " 'created': '2024-04-10T14:03:48.318256',\n",
       " 'task_id': '008473a3-76f6-44e6-8c44-aae95f8d9df2',\n",
       " 'updated': '2024-04-10T14:07:57.803788',\n",
       " 'bundle_type': 'point'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bundle = requests.get('{}bundle/{}'.format(appeears_API_endpoint,task_id), headers=head).json()  # Call API and return bundle contents for the task_id as json\n",
    "bundle"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d6d180d6-c4bc-4eff-bcd6-b2e834382e2c",
   "metadata": {},
   "source": [
    "We can filter our bundle to only include the S3 URI for our CSV output. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "236cb7d7-50fc-4954-9d4e-7c630e6eb798",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'s3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-MOD11A1-061-results.csv'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = [f for f in bundle['files'] if f['file_type'] == 'csv']\n",
    "csv_urls = file[0]['s3_url']\n",
    "csv_urls"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "93a0fd2b-3968-401f-ad3b-9969e17f4b05",
   "metadata": {},
   "source": [
    "## 4. Create a boto3 Refreshable Session\n",
    "\n",
    "AρρEEARS outputs are freely accessible from a cloud instance in **AWS us-west-2**. In order to access our output files, a **Boto3 session** is needed. The Boto session will stores the required configurations that are passed between Python and AWS. Below, `get_boto3_refreshable_session` stored in `aws_session` will access your Earthdata Login credentidals store in .netrc file and generate temporary S3 credentials by making a call to AρρEEARS S3 credential endpoint and storing them in the boto3 session. This session will be auto-renewed as needed to prevent timeouts errors related to S3 credentials time limits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7b588bed-8972-4d8b-bc16-a033115b54a1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO : Getting new temporary credentials from AppEEARS API https://appeears.earthdatacloud.nasa.gov/api//s3credentials...\n"
     ]
    }
   ],
   "source": [
    "region_name = 'us-west-2'\n",
    "s3_creds_endpoint = f\"{appeears_API_endpoint}/s3credentials\"\n",
    "# Boto3 Session required by the pandas package \n",
    "boto3_session = aws_session.get_boto3_refreshable_session(s3_creds_endpoint, region_name)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4660308a-7c4d-494d-aacc-1869b5297a56",
   "metadata": {},
   "source": [
    "Next, an object for s3 client is created using `boto3_session`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "76ad82d4-9363-4614-a682-e796d1633ce8",
   "metadata": {},
   "outputs": [],
   "source": [
    "boto3_client = boto3_session.client('s3', config=Config(max_pool_connections=20))\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "747fd853-10a2-4569-afe7-b5e26506a57c",
   "metadata": {},
   "source": [
    "## 5. CSV File In-Region Direct S3 Access "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ab7014aa-243f-4186-9c43-a318ede7ba3b",
   "metadata": {},
   "source": [
    "To read the CSV file, an object is created for the bucket name along with the file name of csv file. AppEEARS stores the output csv file in a folder. `Bucket` and `key` can be extracted using `S3` URL as below.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5239f01e-ab25-4a74-99e7-81af0c137ea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'s3://appeears-output/008473a3-76f6-44e6-8c44-aae95f8d9df2/EROS-MOD11A1-061-results.csv'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_urls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4ce12ea8-d73f-4f77-a7a5-0da6922c9dc0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "bucket_name = csv_urls.split('/')[2]\n",
    "key_name = csv_urls.split(bucket_name)[1].strip(\"/\")\n",
    "obj = boto3_client.get_object(Bucket = bucket_name, Key = key_name) "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0963b8cf-2a85-4d5d-95c8-1c9440084c96",
   "metadata": {},
   "source": [
    "Next, `read_csv` from `pandas` is used to read the body of created object.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e1253752-bc10-4c66-b6e0-0a2985749351",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Date</th>\n",
       "      <th>MODIS_Tile</th>\n",
       "      <th>MOD11A1_061_Line_Y_1km</th>\n",
       "      <th>MOD11A1_061_Sample_X_1km</th>\n",
       "      <th>MOD11A1_061_LST_Day_1km</th>\n",
       "      <th>MOD11A1_061_LST_Night_1km</th>\n",
       "      <th>MOD11A1_061_QC_Day</th>\n",
       "      <th>...</th>\n",
       "      <th>MOD11A1_061_QC_Day_LST_Error_Flag_Description</th>\n",
       "      <th>MOD11A1_061_QC_Night_bitmask</th>\n",
       "      <th>MOD11A1_061_QC_Night_MODLAND</th>\n",
       "      <th>MOD11A1_061_QC_Night_MODLAND_Description</th>\n",
       "      <th>MOD11A1_061_QC_Night_Data_Quality_flag</th>\n",
       "      <th>MOD11A1_061_QC_Night_Data_Quality_flag_Description</th>\n",
       "      <th>MOD11A1_061_QC_Night_Emis_Error_flag</th>\n",
       "      <th>MOD11A1_061_QC_Night_Emis_Error_flag_Description</th>\n",
       "      <th>MOD11A1_061_QC_Night_LST_Error_Flag</th>\n",
       "      <th>MOD11A1_061_QC_Night_LST_Error_Flag_Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2015-01-02</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>268.940002</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>65.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 2K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2015-01-03</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>256.259979</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>65.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 2K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2955</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>264.540008</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2956</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>270.299988</td>\n",
       "      <td>257.759979</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000000</td>\n",
       "      <td>0b00</td>\n",
       "      <td>LST produced, good quality, not necessary to e...</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000010</td>\n",
       "      <td>0b10</td>\n",
       "      <td>LST not produced due to cloud effects</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2958</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>267.239990</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b00000000</td>\n",
       "      <td>0b00</td>\n",
       "      <td>LST produced, good quality, not necessary to e...</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2959</th>\n",
       "      <td>EROS</td>\n",
       "      <td>43.736038</td>\n",
       "      <td>-96.62139</td>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>h11v04</td>\n",
       "      <td>751.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>270.239990</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Average LST error &lt;= 1K</td>\n",
       "      <td>0b01000001</td>\n",
       "      <td>0b01</td>\n",
       "      <td>LST produced, other quality, recommend examina...</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Good data quality</td>\n",
       "      <td>0b00</td>\n",
       "      <td>Average emissivity error &lt;= 0.01</td>\n",
       "      <td>0b01</td>\n",
       "      <td>Average LST error &lt;= 2K</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2960 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID   Latitude  Longitude        Date MODIS_Tile  \\\n",
       "0     EROS  43.736038  -96.62139  2015-01-01     h11v04   \n",
       "1     EROS  43.736038  -96.62139  2015-01-02     h11v04   \n",
       "2     EROS  43.736038  -96.62139  2015-01-03     h11v04   \n",
       "3     EROS  43.736038  -96.62139  2015-01-04     h11v04   \n",
       "4     EROS  43.736038  -96.62139  2015-01-05     h11v04   \n",
       "...    ...        ...        ...         ...        ...   \n",
       "2955  EROS  43.736038  -96.62139  2023-02-25     h11v04   \n",
       "2956  EROS  43.736038  -96.62139  2023-02-26     h11v04   \n",
       "2957  EROS  43.736038  -96.62139  2023-02-27     h11v04   \n",
       "2958  EROS  43.736038  -96.62139  2023-02-28     h11v04   \n",
       "2959  EROS  43.736038  -96.62139  2023-03-01     h11v04   \n",
       "\n",
       "      MOD11A1_061_Line_Y_1km  MOD11A1_061_Sample_X_1km  \\\n",
       "0                      751.0                      22.0   \n",
       "1                      751.0                      22.0   \n",
       "2                      751.0                      22.0   \n",
       "3                      751.0                      22.0   \n",
       "4                      751.0                      22.0   \n",
       "...                      ...                       ...   \n",
       "2955                   751.0                      22.0   \n",
       "2956                   751.0                      22.0   \n",
       "2957                   751.0                      22.0   \n",
       "2958                   751.0                      22.0   \n",
       "2959                   751.0                      22.0   \n",
       "\n",
       "      MOD11A1_061_LST_Day_1km  MOD11A1_061_LST_Night_1km  MOD11A1_061_QC_Day  \\\n",
       "0                    0.000000                   0.000000                 2.0   \n",
       "1                  268.940002                   0.000000                65.0   \n",
       "2                    0.000000                   0.000000                 2.0   \n",
       "3                  256.259979                   0.000000                65.0   \n",
       "4                    0.000000                   0.000000                 2.0   \n",
       "...                       ...                        ...                 ...   \n",
       "2955               264.540008                   0.000000                 0.0   \n",
       "2956               270.299988                 257.759979                 0.0   \n",
       "2957                 0.000000                   0.000000                 2.0   \n",
       "2958                 0.000000                 267.239990                 2.0   \n",
       "2959                 0.000000                 270.239990                 2.0   \n",
       "\n",
       "      ...  MOD11A1_061_QC_Day_LST_Error_Flag_Description  \\\n",
       "0     ...                        Average LST error <= 1K   \n",
       "1     ...                        Average LST error <= 2K   \n",
       "2     ...                        Average LST error <= 1K   \n",
       "3     ...                        Average LST error <= 2K   \n",
       "4     ...                        Average LST error <= 1K   \n",
       "...   ...                                            ...   \n",
       "2955  ...                        Average LST error <= 1K   \n",
       "2956  ...                        Average LST error <= 1K   \n",
       "2957  ...                        Average LST error <= 1K   \n",
       "2958  ...                        Average LST error <= 1K   \n",
       "2959  ...                        Average LST error <= 1K   \n",
       "\n",
       "     MOD11A1_061_QC_Night_bitmask MOD11A1_061_QC_Night_MODLAND  \\\n",
       "0                      0b00000010                         0b10   \n",
       "1                      0b00000010                         0b10   \n",
       "2                      0b00000010                         0b10   \n",
       "3                      0b00000010                         0b10   \n",
       "4                      0b00000010                         0b10   \n",
       "...                           ...                          ...   \n",
       "2955                   0b00000010                         0b10   \n",
       "2956                   0b00000000                         0b00   \n",
       "2957                   0b00000010                         0b10   \n",
       "2958                   0b00000000                         0b00   \n",
       "2959                   0b01000001                         0b01   \n",
       "\n",
       "               MOD11A1_061_QC_Night_MODLAND_Description  \\\n",
       "0                 LST not produced due to cloud effects   \n",
       "1                 LST not produced due to cloud effects   \n",
       "2                 LST not produced due to cloud effects   \n",
       "3                 LST not produced due to cloud effects   \n",
       "4                 LST not produced due to cloud effects   \n",
       "...                                                 ...   \n",
       "2955              LST not produced due to cloud effects   \n",
       "2956  LST produced, good quality, not necessary to e...   \n",
       "2957              LST not produced due to cloud effects   \n",
       "2958  LST produced, good quality, not necessary to e...   \n",
       "2959  LST produced, other quality, recommend examina...   \n",
       "\n",
       "     MOD11A1_061_QC_Night_Data_Quality_flag  \\\n",
       "0                                      0b00   \n",
       "1                                      0b00   \n",
       "2                                      0b00   \n",
       "3                                      0b00   \n",
       "4                                      0b00   \n",
       "...                                     ...   \n",
       "2955                                   0b00   \n",
       "2956                                   0b00   \n",
       "2957                                   0b00   \n",
       "2958                                   0b00   \n",
       "2959                                   0b00   \n",
       "\n",
       "     MOD11A1_061_QC_Night_Data_Quality_flag_Description  \\\n",
       "0                                     Good data quality   \n",
       "1                                     Good data quality   \n",
       "2                                     Good data quality   \n",
       "3                                     Good data quality   \n",
       "4                                     Good data quality   \n",
       "...                                                 ...   \n",
       "2955                                  Good data quality   \n",
       "2956                                  Good data quality   \n",
       "2957                                  Good data quality   \n",
       "2958                                  Good data quality   \n",
       "2959                                  Good data quality   \n",
       "\n",
       "     MOD11A1_061_QC_Night_Emis_Error_flag  \\\n",
       "0                                    0b00   \n",
       "1                                    0b00   \n",
       "2                                    0b00   \n",
       "3                                    0b00   \n",
       "4                                    0b00   \n",
       "...                                   ...   \n",
       "2955                                 0b00   \n",
       "2956                                 0b00   \n",
       "2957                                 0b00   \n",
       "2958                                 0b00   \n",
       "2959                                 0b00   \n",
       "\n",
       "     MOD11A1_061_QC_Night_Emis_Error_flag_Description  \\\n",
       "0                    Average emissivity error <= 0.01   \n",
       "1                    Average emissivity error <= 0.01   \n",
       "2                    Average emissivity error <= 0.01   \n",
       "3                    Average emissivity error <= 0.01   \n",
       "4                    Average emissivity error <= 0.01   \n",
       "...                                               ...   \n",
       "2955                 Average emissivity error <= 0.01   \n",
       "2956                 Average emissivity error <= 0.01   \n",
       "2957                 Average emissivity error <= 0.01   \n",
       "2958                 Average emissivity error <= 0.01   \n",
       "2959                 Average emissivity error <= 0.01   \n",
       "\n",
       "     MOD11A1_061_QC_Night_LST_Error_Flag  \\\n",
       "0                                   0b00   \n",
       "1                                   0b00   \n",
       "2                                   0b00   \n",
       "3                                   0b00   \n",
       "4                                   0b00   \n",
       "...                                  ...   \n",
       "2955                                0b00   \n",
       "2956                                0b00   \n",
       "2957                                0b00   \n",
       "2958                                0b00   \n",
       "2959                                0b01   \n",
       "\n",
       "     MOD11A1_061_QC_Night_LST_Error_Flag_Description  \n",
       "0                            Average LST error <= 1K  \n",
       "1                            Average LST error <= 1K  \n",
       "2                            Average LST error <= 1K  \n",
       "3                            Average LST error <= 1K  \n",
       "4                            Average LST error <= 1K  \n",
       "...                                              ...  \n",
       "2955                         Average LST error <= 1K  \n",
       "2956                         Average LST error <= 1K  \n",
       "2957                         Average LST error <= 1K  \n",
       "2958                         Average LST error <= 1K  \n",
       "2959                         Average LST error <= 2K  \n",
       "\n",
       "[2960 rows x 29 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_csv = pandas.read_csv(obj['Body'])\n",
    "output_csv"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ed1131aa-ec77-4e77-a425-eab65679ae8b",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 6. Quality Filtering"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a3168041-aef9-4dab-9074-46e4bd652304",
   "metadata": {},
   "source": [
    "To get the good quality data, the quality unique values are assigned to a variable. Good quality data have a decoded quality flag as `LST produced, good quality, not necessary to examine more detailed QA`. The LST values equal to zero, the layer fill_value, are also filtered. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b3a36721-8022-48db-9544-87569e0f8c0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['LST not produced due to cloud effects',\n",
       "       'LST produced, good quality, not necessary to examine more detailed QA',\n",
       "       'LST produced, other quality, recommend examination of more detailed QA'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quality_val = numpy.array(output_csv['MOD11A1_061_QC_Night_MODLAND_Description'])\n",
    "quality_unique = numpy.unique(quality_val)\n",
    "quality_unique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "183ee350-b067-455e-aa4a-e69c884a2118",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "good_qual_flag = 'LST produced, good quality, not necessary to examine more detailed QA'\n",
    "goodQual = output_csv[output_csv['MOD11A1_061_QC_Night_MODLAND_Description'] == good_qual_flag]\n",
    "goodQual = goodQual[goodQual['MOD11A1_061_LST_Day_1km'] != 0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "663bc8b4-e77a-466d-8f4b-4d818bae4ac7",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 6. Explore the LST Time Series "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "375f8bb3-6e02-4acb-8e09-5942e295a4c3",
   "metadata": {},
   "source": [
    "The `hvplot` library can be used to create interactive visualization for `Pandas` `DataFrames`. First we will convert our dates in the **Date** column to `datetime` objects, then we will finish by plotting our good quality data values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b4b19af5-9dbb-4d5d-b053-e4d87b945980",
   "metadata": {},
   "outputs": [],
   "source": [
    "goodQual['dtDate'] = pandas.to_datetime(goodQual['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1e5fb516-59d9-449d-b419-151cb8db4af6",
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='p1002'>\n",
       "  <div id=\"c5c2857d-6154-4c9d-bb21-92da21558c15\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"c6fc0cd8-f7e3-4c28-8a74-4ac9a329f341\":{\"version\":\"3.2.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1002\",\"attributes\":{\"name\":\"Row00931\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1005\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1084\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1003\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1004\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/theme/native.css\"}}],\"min_width\":1200,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1006\",\"attributes\":{\"name\":\"HSpacer00942\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1005\"},{\"id\":\"p1003\"},{\"id\":\"p1004\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1011\",\"attributes\":{\"width\":1200,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1007\",\"attributes\":{\"tags\":[[[\"dtDate\",\"dtDate\",null]]],\"start\":1421539200000.0,\"end\":1677369600000.0,\"reset_start\":1421539200000.0,\"reset_end\":1677369600000.0}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1008\",\"attributes\":{\"tags\":[[[\"value\",\"value\",null]]],\"start\":233.86599424000002,\"end\":326.91400456,\"reset_start\":233.86599424000002,\"reset_end\":326.91400456}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1021\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1022\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1014\",\"attributes\":{\"text\":\"MODIS Day & Night Land Surface Temperature (LST)\",\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1061\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1052\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1053\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1054\"},\"data\":{\"type\":\"map\",\"entries\":[[\"dtDate\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[626],\"dtype\":\"float64\",\"order\":\"little\"}],[\"value\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[626],\"dtype\":\"float64\",\"order\":\"little\"}],[\"Variable\",[\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\",\"MOD11A1_061_LST_Day_1km\"]]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1062\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1063\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1058\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#30a2da\",\"line_width\":2}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1066\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#30a2da\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1059\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#30a2da\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1060\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#30a2da\",\"line_alpha\":0.2,\"line_width\":2}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1076\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1067\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1068\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1069\"},\"data\":{\"type\":\"map\",\"entries\":[[\"dtDate\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[626],\"dtype\":\"float64\",\"order\":\"little\"}],[\"value\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"TYAGQOECcUB6VPzfUdBwQAIPDCBcB3FAaA7/n5nxcEACDwwgXA9xQE2ABkDhKnFALdT1n3ANcUDH1AIgM7twQHxjCACu53BA/vDz36OQcUDkcQegR1FxQOJi+3/rAXFAPhrz3yh0cUCW4vQ/CtdwQJoADYDCPXFAs3/5vx5dcUBNgAZA4SpxQJjxAGBmfnFAah0LwPVQcUDFxfb/1vNxQLN/+b8eTXJAmPEAYGYmckCW4vQ/ChdyQBFG/T+4BnJAfGMIAK4nckCzf/m/HtVxQMXF9v/W03FAXLf3Xz3ScUDkcQegRzFyQGgO/5+ZOXJAelT831FwckCaAA2Awk1yQJoADYDCPXJAfGMIAK5HckAAAAAAAOBxQLN/+b8e/XFAS3H6H4UDckCzf/m/Hv1xQOJi+3/rIXJALdT1n3BNckAenQSAFAZyQB6dBIAUFnJAmgANgMIlckBLcfofhVNyQFy39189qnFAtY4F4HrEcUBNgAZA4YpxQBFG/T+4pnFAah0LwPWwcUA+GvPfKGxyQAIPDCBc/3FAS3H6H4U7ckD+8PPfo3ByQJbi9D8K73FAtY4F4HokckDH1AIgM/txQEtx+h+F83FAluL0Pwp/cUDkcQegR3lxQP7w89+j+HFALdT1n3B1cUDkcQegR2FxQB6dBIAUPnFAfGMIAK6ncUB6VPzfURBxQFy39189SnFAXLf3Xz1icUDH1AIgMztxQJbi9D8K93BAPhrz3yhccUCW4vQ/Cs9wQJoADYDCHXFAAAAAAAA4cEAenQSAFD5wQGgO/5+ZGXBAXLf3Xz0ycEBLcfofhZtuQJoADYDC9W9AS3H6H4XjcEB6VPzfUQhxQP7w89+jcHFAah0LwPUQcUBoDv+fmRFxQGodC8D1kHBATYAGQOHqcEDTKwpgj5pwQAAAAAAAYHFAEUb9P7h2cUDiYvt/60lxQLN/+b8eVXFAmgANgMKlcUC1jgXgemRxQNMrCmCPGnFAelT831GYcUDTKwpgj4JxQORxB6BHoXFAL+MBwMyscUCY8QBgZs5xQORxB6BHuXFAxcX2/9brcUDiYvt/60lyQC/jAcDMfHJAHp0EgBSWckAAAAAAABhyQP7w89+jgHJAluL0PwpXckDTKwpgj+pxQC/jAcDMHHJAmgANgMINckCW4vQ/CudxQMfUAiAzE3JATYAGQOEKckCW4vQ/CjdyQMfUAiAz23FAmPEAYGYWckCY8QBgZmZyQE2ABkDhinJAmPEAYGamckCY8QBgZhZyQLN/+b8ePXJAfGMIAK7vcUAt1PWfcAVyQAIPDCBc73FAXLf3Xz0CckDTKwpgjzJyQJbi9D8Kb3JAaA7/n5khckB6VPzfURByQORxB6BHGXJAah0LwPVAckDFxfb/1stxQOJi+3/r8XFAXLf3Xz3ScUDkcQegRyFyQP7w89+jCHJAEUb9P7jGcUAenQSAFOZxQOJi+3/rAXJAEUb9P7iOcUCzf/m/Ho1xQOJi+3/reXFA4mL7f+uRcUCzf/m/HqVxQHxjCACuz3FAs3/5vx6NcUDiYvt/6ylxQGgO/5+ZMXFA/vDz36PocEDTKwpgjzJxQB6dBIAUhnFAx9QCIDN7cUB8YwgAri9xQORxB6BHQXFAPhrz3ygkcUACDwwgXF9xQFy39189UnFAAg8MIFzfcEDFxfb/1jtxQAIPDCBcN3FAAAAAAADAcECY8QBgZj5xQNMrCmCPCnFAah0LwPXocEBoDv+fmSlwQLWOBeB6jHBAAg8MIFyXcEDiYvt/6wFxQBFG/T+41nBAmgANgMINcUCzf/m/Hi1xQBFG/T+47nBAmgANgMIdcUDH1AIgM3txQLWOBeB6VHFAAAAAAACwcUCY8QBgZu5xQD4a898oxHFALdT1n3B1cUAv4wHAzKxxQBFG/T+4rnFAx9QCIDOrcUAAAAAAAHhxQP7w89+jiHFAS3H6H4WDcUAenQSAFFZyQC3U9Z9w9XFAXLf3Xz0ickCzf/m/HgVyQHxjCACu73FAEUb9P7iOcUC1jgXgesRxQB6dBIAUtnFAmPEAYGbWcUBqHQvA9VByQHpU/N9RWHJAtY4F4HokckAt1PWfcC1yQNMrCmCPenJAaA7/n5kJckBLcfofhWtyQJjxAGBmXnJAS3H6H4VrckCW4vQ/CidyQLN/+b8e/XFATYAGQOEickBct/dfPSJyQJoADYDCnXFAaA7/n5npcUBLcfofhQNyQJjxAGBmFnJAL+MBwMy8cUCW4vQ/Cu9xQC3U9Z9w3XFAfGMIAK7/cUB8YwgArudxQOJi+3/rwXFA4mL7f+sBckCaAA2AwiVyQC/jAcDMHHJAL+MBwMyUcUDkcQegR3lyQMXF9v/Wg3FAEUb9P7h+cUAAAAAAALBxQGodC8D1eHFAAAAAAACwcUCaAA2AwgVxQGgO/5+ZWXFAXLf3Xz2acUBct/dfPSJxQORxB6BHWXFAah0LwPWQcUA+GvPfKLxxQAIPDCBcR3FAluL0PwqXcED+8PPfoxhxQORxB6BHMXBAAg8MIFy3cEDkcQegR/lwQLN/+b8ejXBAXLf3Xz0ycUCaAA2AwpVuQORxB6BHCXBAAg8MIFyHcEDkcQegR3lwQB6dBIAUfnBAmgANgMKdcEACDwwgXHdwQMXF9v/Wi3BAx9QCIDMDcUBct/dfPUJxQJoADYDCJXFAEUb9P7gOcUBqHQvA9ShxQEtx+h+FQ3FAL+MBwMyMcUCY8QBgZrZxQHpU/N9R2HFAluL0Pwr/cUAenQSAFMZxQJbi9D8KR3JAAAAAAAAockAAAAAAAMhxQC/jAcDMrHFAelT831E4ckCW4vQ/CsdxQFy39189mnJAPhrz3yh8ckCzf/m/Hi1yQLWOBeB6DHJAmPEAYGY2ckDTKwpgj3pyQD4a898odHJAluL0PwpPckDkcQegR3lyQJbi9D8Kl3JAmPEAYGY+ckDiYvt/6xFyQOJi+3/r2XFAxcX2/9bbcUB6VPzfUehxQORxB6BHyXFAS3H6H4VDckACDwwgXC9yQMXF9v/WQ3JAEUb9P7guckBLcfofhTtyQC/jAcDMZHJAPhrz3yhcckBct/dfPSJyQJbi9D8Kv3FA/vDz36MQckBct/dfPbpxQD4a898ovHFAluL0PwqncUDH1AIgM2NyQJoADYDCVXJA5HEHoEeBcUCW4vQ/Cu9wQEtx+h+FM3FAXLf3Xz1KcUBoDv+fmRlxQMfUAiAzC3FATYAGQOGScEB8YwgAru9wQP7w89+jCHBAx9QCIDMjcEAenQSAFJ5wQJoADYDCtXBAXLf3Xz2ScEAv4wHAzGRwQC3U9Z9wlXBAtY4F4HqkcEDTKwpgj3pwQNMrCmCPinBAah0LwPUIb0BPjxJgPRpvQGodC8D1EHFA0ysKYI+qcEC1jgXgekxxQEtx+h+FG3FAmPEAYGZGcUDkcQegR2lxQMXF9v/WW3FAAAAAAAAQcUCaAA2Awt1xQLN/+b8ejXFAXLf3Xz2acUA+GvPfKBRyQMfUAiAzI3JAmPEAYGZOckAv4wHAzKRxQD4a898opHFAfGMIAK7/cUAt1PWfcBVyQEtx+h+FW3JAL+MBwMxkckDiYvt/65FyQLN/+b8eFXJAfGMIAK4HckBoDv+fmTlyQD4a898oZHJALdT1n3D1cUBLcfofhUNyQMXF9v/WK3JAmgANgML9cUA+GvPfKPRxQLN/+b8eFXJA0ysKYI/icUBoDv+fmcFxQAAAAAAA0HFAS3H6H4W7cUDH1AIgMwNyQJjxAGBmDnJAxcX2/9ZTckDkcQegRyFyQE2ABkDh+nFAL+MBwMykcUB6VPzfUXBxQP7w89+jKHFAHp0EgBRGcUCaAA2Awi1xQMfUAiAz43BAah0LwPWYcEARRv0/uH5wQBNVCWAUzm5AL+MBwMwkcEAv4wHAzOxvQC/jAcDMrHBA0ysKYI+KcEBLcfofhUtwQLN/+b8ezXBAtY4F4Hr8cEDFxfb/1lNxQOJi+3/r4XBATYAGQOE6cUAv4wHAzPRwQP7w89+jqHBAS3H6H4XbcEDiYvt/6xFxQJbi9D8K73BA0ysKYI8icUCzf/m/HiVxQORxB6BHaXFATYAGQOFacUBLcfofhWtxQGgO/5+ZwXFAL+MBwMxkckA+GvPfKARyQLWOBeB6xHFAtY4F4HpMckCaAA2Awn1yQFy391894nFAS3H6H4X7cUB8YwgArldyQLWOBeB6RHJA4mL7f+sZckARRv0/uC5yQNMrCmCP6nFA0ysKYI/6cUACDwwgXF9yQLWOBeB6nHJA/vDz36NAckCW4vQ/CjdyQGgO/5+ZMXJAAAAAAAAAckACDwwgXP9xQB6dBIAUznFAS3H6H4XDcUDkcQegR/FxQC/jAcDMJHJA0ysKYI8KckD+8PPfo/hxQC3U9Z9wXXJAAg8MIFxHckDiYvt/60FyQBFG/T+4XnJAah0LwPWAckB8YwgArl9yQLN/+b8e7XFATYAGQOHCcUCzf/m/HlVyQGodC8D1iHFAtY4F4HrUcUBLcfofhftxQORxB6BHGXJAtY4F4HoMckCzf/m/HuVxQGodC8D1CHJAelT831FIcUDiYvt/6wFxQB6dBIAUXnFA5HEHoEehcUAAAAAAALhxQNMrCmCPcnFA0ysKYI+6cECW4vQ/Cs9wQHxjCACuB3FAah0LwPX4cEAAAAAAAABxQFy39189EnFAEUb9P7jGcED+8PPfo8BwQBFG/T+4dnBAluL0Pwp/cEAenQSAFKZwQB6dBIAUjnBAah0LwPWgcEBqHQvA9dBwQP7w89+jKHBA4mL7f+tBcEDFxfb/1jNuQF7GA4CZWW9AfGMIAK6vcECW4vQ/Cv9wQD4a898o5HBAAg8MIFxvcEDH1AIgMxNxQHpU/N9RUHFA0ysKYI9acUAenQSAFP5wQLN/+b8e5XBAAg8MIFw/cUDTKwpgj1JxQP7w89+jwHFAAg8MIFwHcUCzf/m/HiVxQLN/+b8eTXFAaA7/n5mxcUCaAA2AwuVxQHpU/N9RqHFAaA7/n5kRckB6VPzfUXhyQLN/+b8elXJAelT831GIckBqHQvA9XhyQAAAAAAAMHJAEUb9P7geckAt1PWfcE1yQD4a898o1HFAs3/5vx71cUCY8QBgZi5yQAAAAAAAOHJAfGMIAK5XckA+GvPfKIxyQAAAAAAACHJAtY4F4HoUckDTKwpgjyJyQEtx+h+FG3JAelT831EwckCaAA2AwiVyQOJi+3/rEXJAtY4F4HpEckCzf/m/HiVyQFy39189enJA4mL7f+sBckB6VPzfUfBxQJoADYDCNXJAS3H6H4VDckD+8PPfoyhyQEtx+h+Fu3FAAg8MIFzPcUCW4vQ/CgdyQLWOBeB6PHJAXLf3Xz1ickDiYvt/62FyQLWOBeB6DHJATYAGQOGycUDFxfb/1kNyQAIPDCBcd3JAah0LwPVockDTKwpgjwpyQHpU/N9R8HFAAAAAAAAIckBct/dfPcpxQBFG/T+4xnFAfGMIAK7HcUC1jgXgemRyQJjxAGBmlnFAmgANgMKFcUBqHQvA9bBxQGgO/5+Z0XFAaA7/n5nxcUAt1PWfcNVxQC3U9Z9wlXFAtY4F4Hq8cUB8YwgArl9xQJbi9D8Kp3FAmPEAYGb+cEB8YwgArj9xQMXF9v/Wa3FAAg8MIFwXcUDiYvt/61lxQGgO/5+ZEXFA0ysKYI8ycUCaAA2Awr1wQJjxAGBmNnFAmgANgMINcUB8YwgArrdwQC3U9Z9wPXBA0ysKYI8ScEARRv0/uC5wQAQeGEC4nm9As3/5vx7VcEBLcfofhcNwQMfUAiAzy3BAmPEAYGbWcED+8PPfo+hwQE2ABkDh2nBA5HEHoEeJcEB6VPzfUSBxQNMrCmCPqnBAaA7/n5nZcECY8QBgZt5wQAAAAAAAoHBAS3H6H4WLcUC1jgXgeoRxQGodC8D1eHFAXLf3Xz2ycUDiYvt/66lxQNMrCmCPInJAaA7/n5lxckCW4vQ/CudxQJbi9D8K/3FAx9QCIDNLckDH1AIgM5tyQLN/+b8erXJAxcX2/9aLckAt1PWfcHVyQE2ABkDhInJAAAAAAAAgckARRv0/uH5yQORxB6BHQXJAmPEAYGZeckDTKwpgjyJyQBFG/T+4JnJAS3H6H4VTckDkcQegR1lyQB6dBIAUZnJAS3H6H4VDckDkcQegR3FyQC3U9Z9w1XFAHp0EgBQOckBoDv+fmSFyQGgO/5+ZMXJA5HEHoEdRckAenQSAFAZyQC3U9Z9w3XFAah0LwPVAckARRv0/uA5yQJbi9D8KH3JAx9QCIDMTckA+GvPfKCxyQJjxAGBmznFAah0LwPXocUCW4vQ/Ck9yQLWOBeB6zHFAmgANgMIlckC1jgXgekRyQORxB6BHkXFAXLf3Xz2ycUAv4wHAzPRxQBFG/T+4xnFAs3/5vx5lckB8YwgArr9xQGodC8D1OHFALdT1n3CFcUDTKwpgj+JwQMXF9v/WO3FAXLf3Xz0ScUA+GvPfKGRxQJjxAGBmLnFALdT1n3C9cED+8PPfo5BwQJjxAGBm1nBAelT831G4b0BexgOAmclvQAQeGEC4nm9AT48SYD1qb0AAAAAAAPBvQAAAAAAAEG9AxcX2/9ajb0DTKwpgj4JwQMXF9v/Wu3BAHp0EgBSOcEA+GvPfKBxwQA==\"},\"shape\":[626],\"dtype\":\"float64\",\"order\":\"little\"}],[\"Variable\",[\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\",\"MOD11A1_061_LST_Night_1km\"]]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1077\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1078\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1073\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#fc4f30\",\"line_width\":2}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1080\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#fc4f30\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1074\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#fc4f30\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1075\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"dtDate\"},\"y\":{\"type\":\"field\",\"field\":\"value\"},\"line_color\":\"#fc4f30\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1020\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p1009\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":[{\"id\":\"p1061\"},{\"id\":\"p1076\"}],\"tooltips\":[[\"Variable\",\"@{Variable}\"],[\"dtDate\",\"@{dtDate}{%F %T}\"],[\"value\",\"@{value}\"]],\"formatters\":{\"type\":\"map\",\"entries\":[[\"@{dtDate}\",\"datetime\"]]}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1045\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1046\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1047\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1048\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1049\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1050\"}],\"active_drag\":{\"id\":\"p1046\"},\"active_scroll\":{\"id\":\"p1047\"}}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1040\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1041\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1042\"},\"axis_label\":\"LST (\\u00b0C)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1043\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p1023\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1051\",\"attributes\":{\"desired_num_ticks\":12,\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1037\"},\"axis_label\":\"Date\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1038\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1039\",\"attributes\":{\"axis\":{\"id\":\"p1023\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1044\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1040\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1064\",\"attributes\":{\"location\":\"bottom_right\",\"title\":\"Variable\",\"click_policy\":\"mute\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1065\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"MOD11A1_061_LST_Day_1km\"},\"renderers\":[{\"id\":\"p1061\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1079\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"MOD11A1_061_LST_Night_1km\"},\"renderers\":[{\"id\":\"p1076\"}]}}]}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1082\",\"attributes\":{\"name\":\"HSpacer00945\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1005\"},{\"id\":\"p1003\"},{\"id\":\"p1004\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"c6fc0cd8-f7e3-4c28-8a74-4ac9a329f341\",\"roots\":{\"p1002\":\"c5c2857d-6154-4c9d-bb21-92da21558c15\"},\"root_ids\":[\"p1002\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":NdOverlay   [Variable]\n",
       "   :Curve   [dtDate]   (value)"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1002"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "goodQual.hvplot.line(x='dtDate', \n",
    "                     y=['MOD11A1_061_LST_Day_1km', 'MOD11A1_061_LST_Night_1km'],\n",
    "                     title='MODIS Day & Night Land Surface Temperature (LST)',\n",
    "                     ylabel='LST (°C)', \n",
    "                     xlabel='Date',\n",
    "                     xticks=12,\n",
    "                     legend='bottom_right',\n",
    "                     width=1200, \n",
    "                     height=600)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "531d3d22-db86-478a-b2d4-db2b84954c42",
   "metadata": {},
   "source": [
    "## Contact Info:  \n",
    "\n",
    "Email: LPDAAC@usgs.gov  \n",
    "Voice: +1-866-573-3222  \n",
    "Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹  \n",
    "Website: <https://lpdaac.usgs.gov/>  \n",
    "Date last modified: 04-19-2024  \n",
    "\n",
    "¹Work performed under USGS contract 140G0121D0001 for NASA contract 80GSFC24TA009.   "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "891ae0be",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py39",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}