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World Settlement Footprint 2015
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 temporal dynamics of human settlements … landcover landsat-derived sentinel1-derived settlement urban -
GLCF: Landsat Global Inland Water
The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. Boreal forests and tundra … glcf landsat-derived nasa umd water -
Murray Global Tidal Wetland Change v1.0 (1999-2019)
The Murray Global Tidal Wetland Change Dataset contains maps of the global extent of tidal wetlands and their change. The maps were developed from a three stage classification that sought to (i) estimate the global distribution of tidal wetlands (defined as either tidal marsh, tidal … coastal intertidal landsat-derived mangrove murray -
GHSL: Global Human Settlement Layers, Built-Up Grid 1975-1990-2000-2015 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … built jrc landsat-derived -
JRC Global Surface Water Mapping Layers, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Global Surface Water Metadata, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Monthly Water History, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Monthly Water Recurrence, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Yearly Water Classification History, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … annual geophysical google history jrc landsat-derived -
Global Mangrove Forests Distribution, v1 (2000)
The database was prepared using Landsat satellite data from the year 2000. More than 1,000 Landsat scenes obtained from the USGS Earth Resources Observation and Science Center (EROS) were classified using hybrid supervised and unsupervised digital image classification techniques. This database is the first, most … annual ciesin global landsat-derived mangrove nasa -
Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m
The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height. The dataset is available for four epochs centered on the years 2000, 2005, 2010 … forest glcf landsat-derived nasa umd -
OpenET CONUS Ensemble Monthly Evapotranspiration v2.0
The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the … conus evapotranspiration gridmet-derived landsat-derived monthly water -
Actual Evapotranspiration for Australia (CMRSET Landsat V2.2)
This dataset provides accurate actual evapotranspiration (AET or ETa) for Australia using the CMRSET algorithm. The AET band (named 'ETa') contains the average daily value from the CMRSET model for all cloud-free Landsat observations in that month (indicated with value 3 in the AET Data … agriculture australia csiro evaporation evapotranspiration hydrology -
Primary Humid Tropical Forests
Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created … forest global landsat-derived umd -
Hansen Global Forest Change v1.9 (2000-2021)
Results from time-series analysis of Landsat images in characterizing global forest extent and change. The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. Reference composite imagery represents median observations … forest geophysical landsat-derived umd -
IrrMapper Irrigated Lands
IrrMapper is an annual classification of irrigation status in the 11 Western United States made at Landsat scale (i.e., 30 m) using the Random Forest algorithm, covering years 1986 - present. While the IrrMapper paper describes classification of four classes (i.e., irrigated, dryland, uncultivated, wetland), … landsat-derived -
Murray Global Intertidal Change Data Mask
The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The … coastal google intertidal landsat-derived murray tidal-flats -
Murray Global Intertidal Change Classification
The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The … coastal google intertidal landsat-derived murray tidal-flats -
Murray Global Intertidal Change QA Pixel Count
The Murray Global Intertidal Change Dataset contains global maps of tidal flat ecosystems produced via a supervised classification of 707,528 Landsat Archive images. Each pixel was classified into tidal flat, permanent water or other with reference to a globally distributed set of training data. The … coastal google intertidal landsat-derived murray tidal-flats -
USFS Landscape Change Monitoring System v2020.6 (Puerto Rico - US Virgin Islands only)
This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. Its objective is … change change-detection forest gtac landcover landsat-derived -
USFS Landscape Change Monitoring System v2021.7 (Conterminous United States and Southeastern Alaska)
This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. Its objective is … change change-detection forest gtac landcover landsat-derived -
Monitoring Trends in Burn Severity (MTBS) Burn Severity Images
The burn severity mosaics consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States, Alaska, Hawaii and Puerto Rico. Mosaicked burn severity images are compiled annually for each year by US State and the … eros fire forest gtac landcover landsat-derived -
Landsat Image Mosaic of Antarctica (LIMA) 16-Bit Pan-Sharpened Mosaic
The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. This LIMA dataset is the 16-bit Intermediate LIMA. The mosaic consists of pan-sharpened normalized surface reflectance scenes (Landsat ETM+ bands 1, 2, 3, and … antarctica ice landsat-derived lima mosaic sr -
Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit)
The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler … antarctica ice landsat-derived lima mosaic sr -
RCMAP Rangeland Component Timeseries v4 (1985-2020)
Rangeland ecosystems in the western United States have a dynamic response to climate change, fire, and other anthropogenic disturbances. The Rangeland Condition, Monitoring, Assessment, and Projection (RCMAP) product aims to capture this response by quantifying the percent cover of rangeland components, associated error, and trends … climate-change disturbance landsat-derived nlcd rangeland trends -
RCMAP Rangeland Component Timeseries v5 (1985-2021)
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985 to 2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial … climate-change disturbance landsat-derived nlcd rangeland trends
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