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This project includes field data and data supporting models of the Missouri River at Sheepnose (SN) bend, near Lexington, Missouri. Field datasets include a topobathymetric digital elevation model (DEM) for a 10-km reach of the Missouri River, repeat surveys of channel bathymetry from 2019-2021, water surface elevation profiles, velocity data collected with acoustic Dopper current profiler (ADCP). Channel topography was generated from data collected by USGS staff from the Columbia Environmental Research Center during multibeam sonar surveys of the channel bed using a multibeam echosounder and high-resolution Global Navigation Satellite Systems for positioning. Field data was used to generate and validate both 2-dimensional...
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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...
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This dataset consists of a file geodatabase containing the digitized ecotone boundaries between mangroves and freshwater marsh in 2013 and 2019 at 14 systematically selected segments in Big Cypress National Preserve and Everglades National Park (southwest Florida, USA).
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This dataset provides a shapefile of surface water diversions directly to agricultural fields in the Russian River Coupled Groundwater and Surface-Water Flow Model (GSFLOW) model.
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a vector Fire Occurrence...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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 thematic raster image...
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The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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 thematic raster image...
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 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 thematic raster image...


map background search result map search result map Monitoring Trends in Burn Severity Fire Occurrence Dataset (FOD) Point Locations (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2012 (ver. 5.0, August 2023) Field data and models of the Missouri River at Sheepnose Bend, near Lexington, Missouri, 2019-2021 Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) U.S. Fish and Wildlife Service Fire Atlas- Fire Occurrence dataset (ver. 5.0, October 2023) National Park Service Thematic Burn Severity Mosaic in 1993 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1989 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1987 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) Russian River Integrated Hydrologic Model (RRIHM): Agricultural Direct Diversion National Park Service Thematic Burn Severity Mosaic in 2023 (ver. 7.0, April 2024) Digitized mangrove-marsh ecotone boundaries for Everglades National Park and Big Cypress National Preserve (Florida, USA) in 2013 and 2019 Field data and models of the Missouri River at Sheepnose Bend, near Lexington, Missouri, 2019-2021 Digitized mangrove-marsh ecotone boundaries for Everglades National Park and Big Cypress National Preserve (Florida, USA) in 2013 and 2019 Russian River Integrated Hydrologic Model (RRIHM): Agricultural Direct Diversion Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2012 (ver. 5.0, August 2023) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) Monitoring Trends in Burn Severity Fire Occurrence Dataset (FOD) Point Locations (ver. 8.0, April 2024) U.S. Fish and Wildlife Service Fire Atlas- Fire Occurrence dataset (ver. 5.0, October 2023) National Park Service Thematic Burn Severity Mosaic in 1993 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1989 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2023 (ver. 7.0, April 2024) National Park Service Thematic Burn Severity Mosaic in 1987 (ver. 6.0, January 2024)