[pdal] obtaining classifications from a .ept file
Connor Manning
connor at hobu.co
Wed Feb 6 11:07:20 PST 2019
The `pdal info --summary` command simply summarizes the metadata from
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_MD_VA_Sandy_NCR_2014_LAS_2015/ept.json,
so it won't let you get the classification values.
On the other hand, the `pdal info --stats` command will read all of the
data into memory, which will attempt to create a 30-billion point buffer
for this dataset. This giant buffer could potentially be skipped if
streaming capability were added to the EPT reader, but you'd still have to
read the 30-billion points in this scenario, so even with compression you'd
be looking at a ~100GB download.
What you might consider is not reading *all* of the data. The EPT reader
in 1.9 (currently on master, but not included in 1.8) will support a
`resolution` option. See doc here:
https://github.com/PDAL/PDAL/blob/master/doc/stages/readers.ept.rst
You could then use your current `translate` command and add to it
`--readers.ept.resolution=20` to read the data only to approximately a 20
meter resolution (for example). While this is not a bulletproof approach
since all of the data is not read, with some experimentation of the
resolution you could potentially get a list of the contained
classifications with reasonable confidence. Keep in mind that the lack of
EPT streaming means that the points will still be read into an ever-growing
buffer, so you may still run into memory limitations with too high of a
resolution.
Here is a sample output for the dataset you asked about to a 20 meter
resolution with 12 threads. For me, it took about 1.5 minutes and used
about 2.5 GB of RAM:
$ time pdal info --stats --filters.stats.dimensions=Classification
--filters.stats.count=Classification ept://
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_MD_VA_Sandy_NCR_2014_LAS_2015
--readers.ept.resolution=20 --readers.ept.threads=12
{
"filename": "ept://
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_MD_VA_Sandy_NCR_2014_LAS_2015
",
"pdal_version": "1.8.0 (git-version: 755ac1)",
"stats":
{
"statistic":
[
{
"average": 5.63230439,
"count": 54747896,
"counts":
[
"1.000000/24956352",
"2.000000/13821592",
"7.000000/102236",
"9.000000/2314365",
"10.000000/15019",
"11.000000/30058",
"17.000000/10022141",
"18.000000/3399744",
"25.000000/86389"
],
"maximum": 25,
"minimum": 1,
"name": "Classification",
"position": 0,
"stddev": 6.882052297,
"variance": 47.36264381
}
]
}
}
real 1m24.623s
user 1m24.079s
sys 0m4.859s
Hopefully this is helpful.
- Connor
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