The Challenge of Community LiDAR data
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Transcript of The Challenge of Community LiDAR data
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• LiDAR acquisition over 1200+ km2 = billions of LiDAR returns
• >5000 1 km2 0.5 m DEM tiles as “standard” products
• Large user community with variable needs and levels of sophistication.
How do we deliver large community datasets such as these?
The Challenge of Community LiDAR data
Northern California GeoEarthScope LiDAR
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LiDAR coverage of the southern San Andreas and San Jacinto faults
- ~ 3.7 billion LiDAR returns, ~1.9 TB
- Very high-res., supports 25-50 cm DEMs
The Challenge of Community LiDAR data
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Delivery
• Hard Disc or DVD• Files organized into tiles
– Point cloud– Pre-computed DEMs– Organization typically kilometer tiles or USGS quarter
quads– Naming convention hopefully meaningful
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Files
x,y,z,date,time,returnnumber,noreturns,offnidar,returnint,classification6079558.34,2121999.58,69.06,1204,+1.39915067000000E+003,1,5,15.63,116,"G"6079533.28,2122000.47,69.28,1204,+1.39915091000000E+003,1,5,15.18,114,"G"6079507.99,2122001.37,69.11,1204,+1.39915115000000E+003,1,5,14.72,86,"G"6079483.27,2122002.25,68.84,1204,+1.39915139000000E+003,1,5,14.27,84,"G"6079555.62,2121995.47,68.74,1204,+1.39916953000000E+003,1,5,15.58,104,"G"6079530.13,2121996.37,68.91,1204,+1.39916977000000E+003,1,5,15.12,132,"G"6079505.12,2121997.26,68.86,1204,+1.39917001000000E+003,1,5,14.67,100,"G"6079480.27,2121998.14,68.53,1204,+1.39917025000000E+003,1,5,14.21,77,"G"6079455.95,2121999.00,68.28,1204,+1.39917049000000E+003,1,5,13.77,61,"G"6079435.83,2121999.71,68.12,1204,+1.39917068000000E+003,1,5,13.40,62,"G"6079411.33,2122000.58,68.05,1204,+1.39917092000000E+003,1,5,12.95,59,"G"6079386.97,2122001.45,67.77,1204,+1.39917116000000E+003,1,5,12.50,55,"G“
x,y,z,gpstime,returnint,passid407803.58,3818548.36,920.10,"502994.982638",117,"Str_169"407804.28,3818549.45,919.99,"502994.982666",138,"Str_169"407804.24,3818546.02,919.24,"502995.004870",137,"Str_169"407805.35,3818547.70,918.94,"502995.004912",126,"Str_169"407804.33,3818545.67,919.26,"502995.006956",104,"Str_169"407803.68,3818541.47,919.28,"502995.027046",107,"Str_169"
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Files, Cont.
• LAS: Binary point cloud format– “industry standard”– Much smaller file sizes due to binary format– Requires specific tools to read or translate– Relatively uncommon in geoscience datasets
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Files cont.
Digital Elevation Models:• ESRI binary grids
– Filtered and unfiltered • a.k.a. bare earth and full feature
– Ascii grids (.asc)• Arc ascii• “standard” ascii