NASA 2017_GR_NASA Project

This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa for 2007-2010 and 2015-2024. Metrics include relative height 98th percentile (RH98), fractional canopy cover, and foliage height diversity. This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa. Metrics include relative height 98th percentile (RH98), fractional canopy cover, and foliage height diversity. They were derived by modeling a sample of Global Ecosystem Dynamics Investigation (GEDI) Level 2A Elevation and Height Metrics and Level 2B Canopy Cover and Vertical Profile Metrics at the 25-m footprint level with wall-to-wall spatial datasets including Landsat, PALSAR, topography derived from NASADEM, and soils data from iSDAsoil. Maps for 2023 and 2024 were created by applying the model trained from 2007-2022 data to PALSAR and Landsat data for 2023 and 2024. The data are suitable for analyzing change in woody canopy s[...]

This data set, part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete 15 m resolution image mosaic of the Greenland ice sheet, derived from USGS Landsat 7 ETM+ imagery and Canadian Space Agency's (CSA) RADARSAT-1 imagery from the years 1999 to 2002. Additional bands (some at 30 m resolution) are provided for each tile in the mosaic and are useful for understanding surface properties, such as snow grain size, bedrock outcrops, mapping layering in the snow, and blue ice or lake-filled regions, during the spring and summer months. The panchromatic (band 8) mosaic provides the highest-resolution view of the ice sheet surface at 15 m, resolving topographic features, large crevasses, and other geophysical structures. See Greenland Ice Mapping Project (GIMP) for related data. NSIDC-0714 This data set, part of the NASA Making Earth System Data Records for Use [...]

This data set contains surface elevation data over Greenland measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. Data Discovery Explore this data using NASA's Earthdata Search, a comprehensive tool for discovering and visualizing Earth science datasets. Data Access Access requires an Earthdata Login account. Read our guide on obtaining AWS credentials to retrieve this data from AWS.

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.