Full catalog/ForestHt_Biomass_GEDI_TDX_2298
ForestHt_Biomass_GEDI_TDX_2298·v1·dataset

Tropical forest height and biomass (GEDI + radar)

Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion
biosphere NASA ORNL_CLOUD Level 4 COG
In plain English

What it measures. Maps of how tall tropical forests are and how much aboveground plant material (biomass) they hold, for Mexico, Gabon, French Guiana, and the Amazon Basin, with uncertainty estimates.

How it's made. Created by fusing NASA's GEDI space lidar height measurements with TanDEM-X radar imagery, using GEDI data to calibrate the radar-derived heights and biomass.

How & where you'd use it. Supports studies of forest carbon storage and forest condition across the tropics, useful for climate and conservation work.

What's measured

BIOSPHERE › VEGETATION › BIOMASSBIOSPHERE › ECOSYSTEMS › TERRESTRIAL ECOSYSTEMS › FORESTSBIOSPHERE › VEGETATION › CANOPY CHARACTERISTICS › VEGETATION HEIGHTLAND SURFACE › LAND USE/LAND COVER › DISTURBANCE

Coverage & cadence

  • Time span2011-01-06 → 2021-08-18
  • Measured byISS (GEDI) · G-LiHT (LIDAR) · TDX (TDX-1)
  • Processing levelLevel 4
  • Spatial extent-119, -15.005, 15.005, 33
  • FormatsCOG
  • StatusCOMPLETE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

This dataset includes maps of canopy height and aboveground biomass at spatial resolutions of 25 m and 100 m for Mexico, Gabon, French Guiana, and the Amazon Basin. The GEDI-TanDEM-X (GTDX) fusion maps were created by combining data from NASA's Global Ecosystem Dynamics Investigation (GEDI) Version 2 footprint data (from 2019-04-18 to 2021-08-18) and TanDEM-X (abbreviated as TDX) Interferometric Synthetic Aperture Radar (InSAR) images (from 2011-01-06 to 2020-12-31). The GTDX canopy height maps were generated by using the TDX coherence maps to invert the TDX height and subsequently using GEDI canopy height as reference data to calibrate the inverted height. The GTDX aboveground biomass maps were produced based on a generalized hierarchical model-based (GHMB) framework that utilizes GEDI biomass as training data to establish models for estimating biomass based on the GTDX canopy height. The dataset also includes maps of canopy height uncertainty, biomass uncertainty, and ancillary data including a regional modeling parameter and forest disturbance. The uncertainty of GTDX canopy height was estimated for each pixel by propagating the GEDI-TDX model error to each GTDX pixel prediction. The uncertainty of GTDX aboveground biomass was estimated by considering the error in both the GEDI footprint biomass data and the GEDI-TDX model, and then applying it to each GTDX biomass pixel prediction. The regional model parameter indicates the size of the analysis window (2 to 50 km or country wide) used for each pixel. The forest disturbance information identifies pixels where disturbance occurred between 2011 and 2020, and provides the year of last disturbance.

Get the data

forestht_biomass_gedi_tdx_2298_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ForestHt_Biomass_GEDI_TDX_2298",
    version="1",
    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 ORNL_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.