Skip to main content
Advanced Search

Filters: Tags: prescribed fire (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

9 results (54ms)   

View Results as: JSON ATOM CSV
thumbnail
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
thumbnail
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...
thumbnail
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector...
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector...
thumbnail
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector...
thumbnail
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...
thumbnail
The project was conducted to study the effects of land management options. It was conducted across a regional network of sites in sagebrush communities. Using this regional network of sites allowed us to understand the thresholds between healthy and unhealthy sagebrush communities over a broad range of conditions across the Great Basin. Sites were located in sagebrush communities threatened by cheatgrass invasion, and we studied the effects of four land management options: control (no management action), prescribed fire, mechanical thinning of sagebrush by mowing, and herbicide application (to thin old, unproductive sagebrush plants and encourage growth of young sagebrush and native understory grasses). An additional...
thumbnail
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...


    map background search result map search result map Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) Monitoring Trends in Burn Severity from 1984-2018 Monitoring Trends in Burn Severity Fire Occurrence Dataset (FOD) Point Locations from 1984-2018 Monitoring Trends in Burn Severity Burned Areas Boundaries for 1984-2018 Pre- and Post-Treatment Fuels and Vegetation Data from the Great Basin, 2006-2018 (ver. 2.0, September 2020) Landsat Burned Area Products Data Release - combined sensor products Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products Landsat Burned Area Products Data Release - Landsat 8 OLI/TIRS products Pre- and Post-Treatment Fuels and Vegetation Data from the Great Basin, 2006-2018 (ver. 2.0, September 2020) Landsat Burned Area Products Data Release - combined sensor products Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products Landsat Burned Area Products Data Release - Landsat 8 OLI/TIRS products Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) Monitoring Trends in Burn Severity from 1984-2018 Monitoring Trends in Burn Severity Fire Occurrence Dataset (FOD) Point Locations from 1984-2018 Monitoring Trends in Burn Severity Burned Areas Boundaries for 1984-2018