GEDI-Fusion Forest Structure Metrics for Six Western US States

Eight forest canopy structure metrics were generated for six western US states at 30-meter resolution from 2016 to 2020. NASA used machine learning to fuse spaceborne GEDI lidar with Landsat, Sentinel-1, and other satellite data to create continuous annual maps. This dataset supports modeling of wildlife habitat and biodiversity across Washington, Oregon, Idaho, Montana, Wyoming, and Colorado.

Use Cases

• Modeling wildlife habitat suitability using canopy height and cover metrics.
• Assessing forest biodiversity with data on canopy strata densities.
• Monitoring annual changes in forest structure from 2016 to 2020.
• Calibrating regional forest models with GEDI-derived reference data.

Strengths

• Provides eight specific forest structure metrics, including canopy height and strata densities.
• Covers a five-year time series (2016-2020) for tracking annual change.
• Leverages fusion of GEDI lidar with multiple satellite sources (Landsat, Sentinel-1) and topographic data.
• Has a fine spatial resolution of 30 meters for detailed regional analysis.

Limitations

• Column names and exact row/record counts are not provided by any source.
• Sources conflict on the last updated date (2026-03-13 vs. 2020-12-31).
• The specific license terms under 'other-license-specified' are not detailed.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Derived using random forest modeling to fuse GEDI waveform lidar with Landsat spectral data, Sentinel-1 backscatter, topography, and bioclimatic variables.

Time Range

2016-2020

Freshness

2026-03-13 01:48:33.852667

Geography

Washington, Oregon, Idaho, Montana, Wyoming, and Colorado