Example subset of aboveground biomass density (AGBD; Mg ha-1) predictions from the GEDI Level-4A footprint version 2.1 product over Northern California, USA, spanning April to July 2019. GEDI footprints are spaced 60m along track and 600m across-track.
GEDI L4A Footprint Level Aboveground Biomass Density, Version 1 released.
Spatial distribution of predicted aboveground biomass (AGB) density averaged over 1984-2014 for the ABoVE Core Study Domain. Ecoregions represent the EPA Level 2 Ecoregion boundaries. Source: Wang et al. (2021)
Estimated annual AGB density for live woody species in the ABoVE Core Study Domain from 1984-2014.
DEM of the Global Change Research Wetland (GCReW) site generated using the LEAN (LiDAR Elevation Correction with NDVI) method. LEAN uses ground measurements of elevation and NDVI in a multivariate linear regression model to estimate vertical bias.
Four digital elevation models (DEMs) at 1-m resolution and 2106 model performance metrics for the GCReW site, Maryland, USA are now available.
Searching for the term remote sensing and words related to invasive species (invasive, nonnative, exotic, or nonindigenous) in Google Scholar reveals an increasing number of publications each year using these terms.
A new Earthdata article describes how researchers are using remote sensing to map invasive species.
Vegetation point-intercept (VPI) any-hit cover metric data were combined with Landsat imagery to develop fractional maps of any-hit cover for four aggregated plant functional types (PFTs); shrubs bryophytes, lichen, and herbs for the upland tundra area of the Y-K Delta, Alaska. VPI data were collected from plots in areas burned in 1971, 1985, 2005, and 2015.
Ecological field data and maps of vegetation cover spanning gradients of fire history in upland tundra are available from the Arctic-Boreal Vulnerability Experiment (ABoVE).