Bare-ground elevation under the trees (G-LiHT laser)
What it measures. The elevation of the bare ground beneath the trees and other cover, plus the slope and direction the land faces, at very fine one-meter detail over surveyed areas.
How it's made. Created from laser (LiDAR) scans flown on NASA's airborne G-LiHT system, which strips away vegetation to reveal the underlying terrain as a gridded map.
How & where you'd use it. Useful for studying forest landscapes, mapping terrain, and supporting ecology and land-surface research over the surveyed regions.
What's measured
Coverage & cadence
- Time span2011-06-30 → ongoing
- Measured byG-LiHT (Headwall, Riegl Airborne Lidar)
- Processing levelLevel 2
- Spatial extent-170, 10, -50, 73
- FormatsGeoTIFF
- StatusACTIVE
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Digital Terrain Model data product (GLDTMT) is to provide LiDAR-derived bare earth elevation, aspect and slope on the EGM96 Geopotential Model. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLDTMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the digital terrain with a color map applied in JPEG format.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="GLDTMT",
version="001",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from LPCLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.