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Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.
Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month.
This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology ….
The SBTN Natural Lands Map v1 is a 2020 baseline map of natural and non-natural land covers intended for use by companies setting science-based targets for nature, specifically the SBTN Land target #1: no conversion of natural ecosystems.
The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which ~217,000 and ~107,000 scenes have been processed, respectively).
The MCD18A1 Version 6.1 is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Downward Shortwave Radiation (DSR) gridded Level 3 product produced daily at 1 kilometer pixel resolution with estimates of DSR every 3 hours.
NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Africa. This image collection provides access to high-resolution satellite monitoring of the tropics for the primary purpose of reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest ...
Breathing Earth System Simulator (BESS) is a simplified process-based model that couples atmosphere and canopy radiative transfers, canopy photosynthesis, transpiration, and energy balance. It couples an atmospheric radiative transfer model and artificial neural network with forcings from MODIS atmospheric products to generate 5-km daily products.
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period.
The feature collection in this dataset contains the 106 AEZ for which WorldCereal products were generated. Each AEZ has unique crop calendars, described based on their start of season (SOS) and end of season (EOS). SOS and EOS are given in day of year (DOY).