This project forked from cmspeed/ot_3dep_workflows
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
License: GNU General Public License v3.0
In notebook, 01_3DEP_Generate_DEM_User_AOI.ipynb, the filterNoise stage (lines 404-411) does not remove classes 7 and 18 using attached AOI (Yellow_creek(copy).geojson)
My workaround:
if filterNoise == True:
filter_stage = {
"type":"filters.range",
"limits":"Classification[1:6],Classification[8:17],Classification[20:20]"
}
filter_interquartile_stage = {
"type":"filters.iqr",
"dimension":"Z",
"k":3.5
}
pointcloud_pipeline['pipeline'].append(filter_stage)
pointcloud_pipeline['pipeline'].append(filter_interquartile_stage)
I added the iqr filter to remove remaining noise that was not classified as either 7 or 18.
In notebook 07_3DEP_Generate_Colorized_PointClouds.ipynb
when selecting an area with overlapping surveys, there needs to be a way to either place
each survey into a separate laz file, or a way to select only one of the surveys instead of
all surveys within the selection polygon.
My AOI_GCS was set to (Madeira Beach, FLA):
POLYGON ((
-82.805178 27.800081,
-82.795567 27.807825,
-82.778748 27.790666,
-82.773428 27.780794,
-82.784583 27.773049,
-82.790247 27.788844,
-82.803118 27.794766,
-82.805178 27.800081
))
which has the following two surveys conducted 9 years apart, but get merged into the single
resulting laz file pointcloud_colorized.laz.
Points Survey Name Data Source Url
16,835,045,264 FL_Peninsular_Pinellas_2018 https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Pinellas_2018/ept.json
3,091,561,200 FL_PinellasCo_2007 https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_PinellasCo_2007/ept.json
It would be very nice if both surveys were downloaded by the notebook and then named, or renamed, according to the names variable instead of just pointcloud_colorized.laz
In the notebook 07_3DEP_Generate_Colorized_PointClouds.ipynb, Changing the outCRS did not change the elevation values in the resulting laz to be ellipsoidal.
The test polygon in AOI_GCS was:
POLYGON ((
-82.805178 27.800081,
-82.795567 27.807825,
-82.778748 27.790666,
-82.773428 27.780794,
-82.784583 27.773049,
-82.790247 27.788844,
-82.803118 27.794766,
-82.805178 27.800081
))
Globalmapper was used to examine the laz file.
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