RSDI 2018 Checklist

[bridgethass]

TO DO - RSDI 2018

Pre-Institute

• Week 0: Update python installation instructions
  - Use enviornment.yml file? Docker? JupyterHub?
  - Python 3.5
  - PySpTools (+ SpectralPy?)
  - Display python kernels in Jupyter notebook: run conda install ipykernel in that environment.
• Week 1: Intro to NEON - Megan
• Week 2: Intro to Python and Jupyter Notebooks
  - Data Types
  - Functions, For Loops, If Statements
  - Packages: numpy, matplotlib, gdal
  - Optional: Linear Algebra and Introduction to Machine Learning - Coursera?
• Lesson/tutorial (Jupyter Notebook) on reading in and plotting RGB camera tile

Day 1: Hyperspectral HDF5 Data

• Update hyperspectral lessons to work with mosaiced tiles
  - remove clipping to smaller extent
  - add batch processing of multiple tiles
• Update functions / module
  - Add functions to:
  1. clean entire HSI cube (set no data value, scale, remove bad bands)
  2. Plot spectral signature of a pixel
  3. ...

Day 2: Lidar Raster Data

Day 3: Remote Sensing Uncertainty

Day 4: Machine Learning with NEON Data - Classification, Clustering, and Applications

• Spectral Python: http://www.spectralpython.net/user_guide.html