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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...
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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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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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Bacterial Data include results of incubations of lakewater bacteria with dissolved organic matter extracted from Colorado glacier or rock glacier outflows in 2015. Cells were counted pre- and post- incubations. The “Counts” tab is the number of cells counted in each view of the microscope using the acridine orange method. “C Calculations” tab is the calculation of carbon as bacterial biomass from cell counts. ”Change in cell counts” is the difference in the number of bacterial cells from the pre-incubation microbial culture and in each assay bottle after the biological oxygen demand incubation. The third tab, “Carbon use efficiency” is calculated as the amount of DOM from oxygen demand assays converted to microbial...
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The US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) and the USDA Census of Agriculture (completed every five years, most recently in 2012) are primary sources of regionally detailed data concerning the productivity, economics, land use, and multiple other characteristics of agriculture and ranching in the United States. The county-level data on farmland irrigation provides one example of the many ways in which agriculture impacts, and is impacted by, natural resource availability and sustainability. This featured dataset is acres irrigated in farmlands, 2012. Available at: www.agcensus.usda.gov/Publications/2012/</pre>
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. The results of this assessment provides information that can identify areas of interest for protecting surface drinking water quality. The spatial dataset can be incorporated into broad-scale planning, such as the State Forest Action Plans, and can be incorporated into existing decision support tools that currently lack spatial data on important areas for surface drinking water. This project also sets the groundwork for...
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In order to understand ongoing and future climate change and its impacts on ecosystem services, we must have a grasp on historical ranges of climate variability. Fortunately, detailed weather station data are available in the United States for thousands of locations over the last century. Moreover, sophisticated approaches have been developed for translating these measurements into unified datasets across the U.S., including climate estimates for locations that lack station data.The PRISM (Parameter-elevation Regressions on Independent Slopes Model) Climate Group produces such estimates from weather station data at daily, monthly, and annual time steps, incorporating data from 1895 to the present day. PRISM methods...
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The American Community Survey (ACS) is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts. This dataset shows human population density per square mile in 2013.
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Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in summer months, 2005-2014.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...
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The American Community Survey (ACS) is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts.Seasonal homes are abundant in the Appalachians, and are particularly prominent among the more rural areas that provide access to the region’s cultural and natural amenities and scenic views. These factors, coupled with an ideal mountain climate compared to surrounding areas, have brought national attention and have made much of...
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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...
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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...
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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...
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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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These data products are preliminary burn severity assessments derived from post sensor data (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 Area Emergency...
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...
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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 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 includes...


map background search result map search result map Drought The Palmer Drought Severity Index Summer Mean 2005-2014 American Community Survey Seasonal Housing Profile US Department of Agriculture Census of Agriculture Economic Profiles 2012 American Community Survey Population Density per Square Mile 2013 USDA Forest to Faucets Forest Importance to Drinking Water PRISM Average Annual Normal Precipitation 1981-2010 Laboratory Incubation results from 2015 for bacterial cell counts, carbon use efficiency, growth efficiency, and dissolved organic matter chemistry from four glacier outflows and four rock glacier outflows in Colorado Monitoring Trends in Burn Severity (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Burned Areas Boundaries (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2018 (ver. 5.0, August 2023) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2013 (ver. 5.0, August 2023) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2020 (ver. 5.0, August 2023) Burned Area Reflectance Classification assessment Fire Occurrence Dataset Point Locations (ver. 7.0, April 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2019 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) USDA Forest to Faucets Forest Importance to Drinking Water American Community Survey Seasonal Housing Profile US Department of Agriculture Census of Agriculture Economic Profiles 2012 PRISM Average Annual Normal Precipitation 1981-2010 American Community Survey Population Density per Square Mile 2013 Drought The Palmer Drought Severity Index Summer Mean 2005-2014 Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2013 (ver. 5.0, August 2023) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2020 (ver. 5.0, August 2023) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2018 (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 (ver. 8.0, April 2024) Burned Area Reflectance Classification assessment Fire Occurrence Dataset Point Locations (ver. 7.0, April 2024) Monitoring Trends in Burn Severity Burned Areas Boundaries (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 8.0, April 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2019 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024)