3DEP lidar
The USGS 3D Elevation Program's public lidar point clouds and the bare-earth digital elevation models derived from them, covering the United States at 1 m where lidar has been flown.
Facts
- Product
- Classified lidar point clouds (LAZ) and 1 m bare-earth DEM by project; 1/3 arc-second seamless DEM nationwide
- Resolution
- 1 m DEM where lidar exists (finer in some projects); 10 m seamless
- Cadence
- Project by project; no fixed revisit
- Latency
- Months to years from acquisition to publication, by project
- Format
- GeoTIFF (DEM), LAZ (points), Entwine Point Tiles on AWS
- License
- Public domain (US government work)
- Access
- The National Map downloader; AWS Open Data bucket usgs-lidar-public (EPT); py3dep
Load it
import py3dep
import rioxarray # registers the .rio accessor on xarray objects
# Bounding box in WGS84: (west, south, east, north). Engineer Mountain, CO.
bbox = (-107.83, 37.68, -107.76, 37.73)
# 1 m where a lidar project covers the box; use 10 for the seamless DEM.
dem = py3dep.get_dem(bbox, resolution=1, crs="EPSG:4326")
dem = dem.rio.reproject("EPSG:26913") # UTM zone 13N, meters
dem.rio.to_raster("dem_3dep.tif")Where it was wrong on the ground
No field findings recorded yet.
Posts using this dataset
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Jesse Sprague. Field-checked analyses of public wildfire data. Work: Echospectra.