You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
clip_clasified is the unnormalized point cloud that I want to get the GEDI-like wave form metrics. Though gediWFSimulator function in the script works well without any issue, running gediWFMetrics function immediately causes fatal error (the screen capture is shown below) that I lose all the record and need to start over. It seems that the gediWFMetrics is working but the memory overflows immediately.
> clip_clasified
class : LAS (v1.2 format 1)
memory : 199.3 Mb
extent : 61687.91, 61711.91, -20140.88, -20116.88 (xmin, xmax, ymin, ymax)
coord. ref. : JGD2011 / Japan Plane Rectangular CS II
area : 452.3 m²
points : 4.35 million points
density : 9623.37 points/m²
density : 9623.37 pulses/m²
So, could you help me to avoid this error?
I deeply appreciate any kind of feedback in advance!!!! Thank you.
The text was updated successfully, but these errors were encountered:
Hi,
I'm using
gediWFMetrics
function to retrieve the metrics from dense lidar data (10K points/m2). The R script I wrote is as follows.clip_clasified
is the unnormalized point cloud that I want to get the GEDI-like wave form metrics. ThoughgediWFSimulator
function in the script works well without any issue, runninggediWFMetrics
function immediately causes fatal error (the screen capture is shown below) that I lose all the record and need to start over. It seems that thegediWFMetrics
is working but the memory overflows immediately.So, could you help me to avoid this error?
I deeply appreciate any kind of feedback in advance!!!! Thank you.
The text was updated successfully, but these errors were encountered: