Principal Investigator: John Townshend, University of Maryland
The Global Forest Cover Change (GFCC) collection is derived from enhanced Landsat Global Land Survey (GLS) datasets and provides global coverage information on surface reflectance, water cover, and forest cover change.
Principal Investigator: Prasad Thenkabail, USGS
The Global Food Security-support Analysis Data (GFSAD) collection provides information on global croplands, including crop density and crop extent. The monitoring of global croplands is critical for policymaking and provides important baseline data that are used in many agricultural studies pertaining to water sustainability and food security.
Principal Investigator: Simon Hook, Jet Propulsion Laboratory
The Land Surface Temperature and Emissivity (LSTE) collection provides global LSTE coverage for common use in surface energy balance studies, land surface modeling, climate change modeling, and urban heat island studies.
Principal Investigator: Sean Buckley, Jet Propulsion Laboratory
NASADEM extends the legacy of the Shuttle Radar Topography Mission (SRTM) by improving the digital elevation model (DEM) height accuracy and data coverage as well as providing several new data products. The improvements were achieved by reprocessing the original SRTM radar signal and telemetry data with updated algorithms and auxiliary data not available at the time of the original SRTM processing.
Principal Investigator: Michael Kobrick, Jet Propulsion Laboratory
The NASA Shuttle Radar Topography Mission (SRTM) is a collaborative effort by NASA, the National Geospatial-Intelligence Agency (NGA), and the participation of German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the space shuttle Endeavour, which launched February 11, 2000, and ﬂew for 11 days.
Principal Investigator: Matthew Hansen, University of Maryland
The Vegetation Continuous Fields (VCF) collection provides global vegetation continuous fields from Advanced Very High Resolution Radiometer (AVHRR) long-term data records version 4 (LTDR v4) from 1982 through 2016. Version 1 of this data product includes a time series of VCF data at 5600 m resolution containing information on percent of tree cover, non-tree vegetation, and bare ground.
Principal Investigator: Kamel Didan, University of Arizona
The Vegetation Index and Phenology (VIP) collection comprises 34 years of a consistent, global record of vegetation indices and landscape phenology. The VIP collections are based on MODIS, AVHRR, and Satellite Pour l'Observation de la Terre (SPOT) data inputs.
Principal Investigator: David Roy, Michigan State University; Zhang Hankui, South Dakota State University
The NASA-funded Web-enabled Landsat Data (WELD) project generated Landsat Enhanced Thematic Mapper Plus (ETM+) mosaics of the conterminous United States and Alaska from 2002 to 2012. The WELD products were developed specifically to provide consistent data that could be used to derive land cover, geophysical and biophysical products for regional assessment of surface dynamics, and to study Earth system functionality. The WELD data products were decommissioned on December 2, 2019.
Global WELD (GWELD) is an expansion of WELD data products to a global scale using Landsat 4 and 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Collection 1 data. These global products provide monthly and annual data for terrestrial non-Antarctic locations for six 3-year epochs that occur every 5 years from 1985 to 2010. GWELD Version 3.1 data for the 2000 and 1990 epochs are available. Additional epochs will be released in the near future.
Principal Investigator: Mark Friedl, Boston University
The Global Land Cover, land Use, and land cover Change (GLCUC) data record is an annual product based on Landsat imagery. This project will provide high-quality maps of global land cover, land use, and land cover change at 30 meter spatial resolution.
Principal Investigator: Mark Friedl, Doug Bolton, Minkyu Moon
Multi-Source Land Imaging (MuSLI) Land Surface Phenology (LSP) (MSLSP) data record is an annual product derived from Harmonized Landsat Sentinel-2 (HLS) 30 meter spatial resolution data. This project provides dates of phenophase transitions, including the timing of greenup, maturity, senescence, and dormancy at 30 m spatial resolution.