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Data details

UID 872
Name Global Forest Canopy Height
Note A new, 30-m spatial resolution global forest canopy height map was developed through the integration of the Global Ecosystem Dynamics Investigation (GEDI) lidar forest structure measurements and Landsat analysis-ready data time-series. The NASA GEDI is a spaceborne lidar instrument operating onboard the International Space Station since April 2019. It provides footprint-based measurements of vegetation structure, including forest canopy height between 52°N and 52°S globally. The Global Land Analysis and Discover team at the University of Maryland (UMD GLAD) integrated the GEDI data available to date (April-October 2019) with the year 2019 Landsat analysis-ready time-series data (Landsat ARD). The Landsat multi-temporal metrics that represent the surface phenology serve as the independent variables for global forest height modeling. The “moving window” locally calibrated and applied bagged regression tree ensemble model was implemented to ensure high quality of forest height prediction and global map consistency. The model was extrapolated in the boreal regions (beyond the GLAD data range) to create the global forest height prototype map. https://glad.umd.edu/dataset/gedi
Update Frequency Historical
Area Global
Temporal 01 Jan. 2019 - 31 Dec. 2019
Timeliness < 1 hr
Data Policy Full and Open
Data type Image
Copernicus service product
Data format Raster dataset
Quality Control Procedure N/A
Dissemination Download Service
Inspire themes

Annex II: Land cover
Geographical Coverage

Multiple Countries /Not a specific country
Status Operational
State Valid
Created on May 28, 2025, 1:27 p.m.
Last modified on June 30, 2025, 12:10 p.m.

Data Providers

Data provider UID Data provider Role Is network Created on Last modified on
298 University of Maryland (GLAD lab)/Google/USGS/NASA Distributor May 28, 2025, 1:27 p.m. June 30, 2025, 12:10 p.m.

Requirements

Requirement UID Requirement Level of compliace Note Information costs Handling costs Created on Last modified on
442 Fires and/or Burnt Areas Partially Coverage is not complete. The dataset accuracy could be lower than target. May 28, 2025, 1:27 p.m. June 30, 2025, 12:10 p.m.