2019-04-18 to 2023-03-16 data provides a 30-meter spatial elaboration of GEDI's sample of footprint-level products. The dataset contains imputed predictions for waveform attributes like RH metrics, canopy cover, and aboveground biomass density (AGBD). It was produced by ORNL_CLOUD using a nearest neighbor algorithm with Landsat time series data.
Use Cases
- Model aboveground biomass density (AGBD) from imputed waveform relative height (RH) metrics across 30-meter pixels.
- Analyze canopy cover and forest structure using imputed predictions derived from Landsat time series similarity.
- Validate GEDI L2A and L2B product distributions at a 10-km tile scale using provided model diagnostics like RMSE.
- Map forest height profiles using imputed RH 10 through RH 98 metrics for pixels between 51.6°N and 51.6°S.
Strengths
- Data spans nearly 4 years of mission weeks, from week 19 in 2019 to week 223 in 2023.
- Provides 30-meter spatial resolution predictions for forest structure metrics across land between 51.6°N and 51.6°S.
- Includes model diagnostics with root mean square error (RMSE) for each 30-meter output per 10-km tile.
Limitations
- Data is imputed via a nearest neighbor model, not direct measurement, introducing algorithmic uncertainty.
- Spatial coverage is limited to latitudes between 51.6 degrees north and south, excluding boreal and polar regions.
Provenance
- Source
- NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, processed by ORNL_CLOUD.
- Collection Method
- Nearest neighbor imputation algorithm applied to GEDI L2A, L2B, and L4A products using Landsat time series data centered on 2023.
- Time Range
- 2019-04-18 to 2023-03-16
- Freshness
- Data collection ended on 2023-03 16.
- Geography
- Global land coverage between 51.6 degrees north and 51.6 degrees south latitude.