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Found 884 dataset(s) matching "landsat imagery".
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This data is a subset of the 2010 LANDFIRE Existing Vegetation Type, covering the Russian River watershed. This LANDFIRE data was downloaded and processed in 2017. Introduction: The LANDFIRE...
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<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2024....
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The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011,...
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The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992,...
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The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992,...
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The LANDFIRE Annual Disturbance products for 1999-2007 are included within the LF 2001 version and are developed through a multistep process. Inputs to this process include (but are not limited...
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The LANDFIRE Annual Disturbance products for 1999-2007 are included within the LF 2001 version and are developed through a multistep process. Inputs to this process include (but are not limited...
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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 1985-2020. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023....
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2024....
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The LANDFIRE Annual Disturbance products for 1999-2007 are included within the LF 2001 version and are developed through a multistep process. Inputs to this process include (but are not limited...
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The LANDFIRE Annual Disturbance products for 1999-2007 are included within the LF 2001 version and are developed through a multistep process. Inputs to this process include (but are not limited...
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LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this...
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LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this...
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LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree,...
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These data provide on-the-ground estimates of burn severity as estimated by the Composite Burn Index (CBI) for fires that burned between 1994 and 2018. Landsat imagery was subsequently used to...
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The Global Human Settlement Layer: Population and Built-Up Estimates, and Degree of Urbanization Settlement Model Grid data set provides gridded data on human population (GHS-POP), built-up area...
