d031·dataset
Ground & tree heights, laser-measured
ICESat-2 ATL08 Land + Canopy Heights
NSIDC DAAC ATL08 cloud-native 100 m segments along-track 91-day repeat HDF5 landforestryterrain
Vegetation canopy + terrain heights from photon-counting lidar. Complements GEDI globally including polar regions.
ICESat-2 ATL08 Land + Canopy Heights
Vegetation canopy + terrain heights from photon-counting lidar. Complements GEDI globally including polar regions.
Access
- Python (earthaccess):
short_name='ATL08'; or use icepyx - Portal: https://nsidc.org/data/atl08
Gotchas
- Per-100m segment statistics; not pixel-grid
- Multiple beam tracks; aggregate for analysis
- Bright surfaces (cities, sand) introduce noise
Related
- Other datasets: d010, d030
- Questions: q01
Sources
The access details, code, and sources below are kept in the original English for technical accuracy.
Quick access (cloud-direct)
import earthaccess
earthaccess.login(strategy="netrc")
results = earthaccess.search_data(
short_name="ATL08",
bounding_box=(-122.5, 37.2, -121.8, 37.9),
temporal=("2024-01-01", "2024-12-31"),
)
files = earthaccess.open(results) # stream from NSIDC DAAC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. 📚 Problem Finder KB
1 matching entry in the Knowledge Base:
§14 Glossary
ICESat-2 ATL08
NSIDC