omshinde
commented
9 months ago Potential LAS file to be used for this tutorial- G-LiHT Lidar Point Cloud V001
- Available on EarthData CC: @wildintellect
Open omshinde opened 9 months ago
omshinde
commented
9 months ago Potential LAS file to be used for this tutorial- G-LiHT Lidar Point Cloud V001
omshinde
commented
9 months ago pdal info for a sample file -
{
"file_size": 250214111,
"filename": "GLLIDARPC_FL_20200311_FIA8_l0s47.las",
"now": "2024-02-28T14:45:40-0600",
"pdal_version": "2.6.3 (git-version: Release)",
"reader": "readers.las",
"stats":
{
"bbox":
{
"EPSG:4326":
{
"bbox":
{
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"maxy": 25.51124307,
"maxz": 69.83,
"minx": -81.03453087,
"miny": 25.50220025,
"minz": -9.45
},
"boundary": { "type": "Polygon", "coordinates": [ [ [ -81.034528286502976, 25.502200254253729, -9.45 ], [ -81.034530871489949, 25.511239665437046, -9.45 ], [ -81.013918194926248, 25.511243071520095, 69.83 ], [ -81.013917153007569, 25.502203658959989, 69.83 ], [ -81.034528286502976, 25.502200254253729, -9.45 ] ] ] }
},
"native":
{
"bbox":
{
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"maxy": 2821558.993,
"maxz": 69.83,
"minx": 496530.0563,
"miny": 2820558.003,
"minz": -9.45
},
"boundary": { "type": "Polygon", "coordinates": [ [ [ 496530.056302567652892, 2820558.003240843303502, -9.45 ], [ 496530.056302567652892, 2821558.993240843061358, -9.45 ], [ 498601.386302567610983, 2821558.993240843061358, 69.83 ], [ 498601.386302567610983, 2820558.003240843303502, 69.83 ], [ 496530.056302567652892, 2820558.003240843303502, -9.45 ] ] ] }
}
},
"statistic":
[
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{
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}
]
}
}
wildintellect
commented
9 months ago @omshinde are there any issue with this being LAS 1.1 not 1.4 specification? I know sometimes the versions force data loss for no longer supported features? Otherwise seems ok, but might be nice to find something a little smaller than 250 MB as the sample.
An example notebook on LiDAR LAS to COPC conversion would be a good example to add. Is it alright if I contribute to this example?
I am planning to use this dataset from NEON for this example - https://data.neonscience.org/data-products/DP1.30003.001
How to access data from NEON is available here: https://github.com/NEONScience/NEON-Data-Skills/blob/main/tutorials/Python/AOP/Lidar/intro-lidar/intro_point_clouds_py/intro_discrete_point_clouds.ipynb
Any thoughts?
cc: @wildintellect