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Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion

Metadata Updated: March 28, 2024

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date March 28, 2024
Metadata Updated Date March 28, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Forest canopy height from GEDI-TDX data fusion over Gabon, Mexico, French Guiana and the Amazon Basin. Source: height_mexico_25m.tif, height_gabon_25m.tif, height_frenchguiana_25m.tif, height_amazon_25m.tif

Additional Metadata

Resource Type Dataset
Metadata Created Date March 28, 2024
Metadata Updated Date March 28, 2024
Publisher ORNL_DAAC
Maintainer
Identifier C2883623174-ORNL_CLOUD
Data First Published 2024-02-29
Language en-US
Data Last Modified 2024-03-02
Category GEDI, CMS, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Dubayah, R.O., W. Qi, J. Armston, T. Fatoyinbo, K. Papathanassiou, M. Pardini, A. Stovall, C. Choi, and V. Cazcarra-Bes. 2023. Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2298
Graphic Preview Description Forest canopy height from GEDI-TDX data fusion over Gabon, Mexico, French Guiana and the Amazon Basin. Source: height_mexico_25m.tif, height_gabon_25m.tif, height_frenchguiana_25m.tif, height_amazon_25m.tif
Graphic Preview File https://daac.ornl.gov/GEDI/guides/ForestHt_Biomass_GEDI_TDX_Fig1.jpg
Harvest Object Id 463197de-7fd3-4ae7-a82d-21b2e1eab2d6
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2298
Metadata Type geospatial
Old Spatial -119.0 -15.01 15.01 33.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 8cefe2c09dea6b5e9c039d7c7ade52bb8ffd80ede65315e28b37ba34cd5a0e6d
Source Schema Version 1.1
Spatial
Temporal 2011-01-06T00:00:00Z/2021-08-18T23:59:59Z

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