- Dataset Availability
- 2019-04-17T00:00:00Z–2023-03-16T00:00:00Z
- Dataset Provider
- Rasterization: Google and USFS Laboratory for Applications of Remote Sensing in Ecology (LARSE) Gridded GEDI Vegetation Structure Metrics and Biomass Density
- Earth Engine Snippet
-
ee.ImageCollection("LARSE/GEDI/GRIDDEDVEG_002/V1/1KM") - Tags
Description
This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the entire vertical profile, based solely on GEDI lidar, and validated with independent data.
The GEDI sensor, mounted on the International Space Station (ISS), uses eight laser beams spaced by 60 m along-track and 600 m across-track on the Earth surface to measure ground elevation and vegetation structure between approximately 52 degrees North and South latitude. Between April 17th 2019 and March 16th 2023, GEDI acquired 11 and 7.7 billion quality waveforms suitable for measuring ground elevation and vegetation structure, respectively.
In addition to many of the standard L2 and L4A shot metrics, several additional metrics have been derived which may be particularly useful for applications in carbon and water cycling processes in earth system models, as well as forest management, biodiversity modeling, and habitat assessment. Variables include canopy height, canopy cover, plant area index, foliage height diversity, and plant area volume density at 5 m strata.
Eight statistics are included for each GEDI shot metric: mean, bootstrapped standard error of the mean, median, standard deviation, interquartile range, 95th percentile, Shannon's diversity index, and shot count. Quality shot filtering methodology that aligns with the GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 was used. In comparison to the corresponding GEDI L3 dataset, this dataset provides additional gridded metrics at multiple spatial resolutions and over several temporal periods (annual and the full mission duration).
This dataset provides GEDI shot metrics aggregated into raster grids at three spatial resolutions: 1 km, 6 km, and 12 km. This dataset uses the pixel size of 1KM.
Bands
Resolution
1000 meters
Bands
| Name | Description |
|---|---|
mean |
The mean of GEDI shot metric values within a pixel |
meanbse |
Standard error of the mean calculated using bootstrap resampling. 100 bootstrap samples were created; each sample included 70% of shots, randomly selected. Standard error was calculated using the means of bootstrapped samples. (Only calculated when there are at least 10 GEDI shots in the grid cell.) |
median |
The median value (50th percentile) of GEDI shot metric values within a pixel. |
sd |
The standard deviation of GEDI shot metric values within a pixel. |
iqr |
The interquartile range (75 percentile minus 25th percentile) of GEDI shot metric values within a pixel. |
p95 |
The 95th percentile value of GEDI shot metric values within a pixel. |
shan |
Shannons diversity index (H) of GEDI shot metric values within a pixel. Calculated as:-1(sum(plog(p))) where p is the proportion of GEDI shot values per bin. |
countf |
The count of GEDI shot metric values within a pixel. A 30-m sub-grid was used to select the (temporally) first GEDI shot acquired in each 30-m sub-grid cell. |
shots_count |
The number of shots. For a shot to be counted in this layer the following fields need to be valid: longitude, latitude, elevation of the lowest mode, decimal date, and orbit. |
orbits_uniq |
The number of unique orbits. |
tracks_uniq |
The number of unique tracks. A track is the combination of orbit and beam. |
shots_nni |
The Nearest Neighbor Index (Evans et al. 2023). |
Terms of Use
Terms of Use
This dataset is in the public domain and is available without restriction on use and distribution. See NASA's Earth Science Data & Information Policy for additional information.
Citations
Burns, P., Hakkenberg, C.R. & Goetz, S.J. Multi-resolution gridded maps of vegetation structure from GEDI. Sci Data 11, 881 (2024). doi:10.1038/s41597-024-03668-4
Explore with Earth Engine
Code Editor (JavaScript)
var image = ee.Image("LARSE/GEDI/GRIDDEDVEG_002/V1/1KM/gediv002_sens-a0_vf_20230101_20230316");
var p95 = image.select('p95');
var lon = -46.46;
var lat = -11;
Map.setCenter(lon, lat, 5);
var palette = ['darkred','red','orange','green','darkgreen'];
Map.addLayer(p95, {palette: palette, min:1, max:60}, 'p95');