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The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to "develop a uniform hierarchical vegetation methodology" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation at Devils Tower National Monument was mapped using 1:16,000 scale U.S. Forest Service Color Aerial Photography acquired July 29, 1993. The mapping classification...
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The vegetation spatial database coverage (vegetation map) is a product of the Effigy Mounds National Monument Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). The U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) in La Crosse, Wisconsin, and the Minneapolis Office of NatureServe in Minneapolis, Minnesota, have completed mapping and classification of existing plant communities of Effigy Mounds National Monument (EFMO) and extended surroundings. Photointerpreters, ecologists, and botanists collaborated to describe National Vegetation Classification System (NVCS) plant communities (associations) and determine how best to map them using aerial photographs. --- Two...
An approach is presented in this study to aid water-resource managers in characterizing streamflow alteration at ungauged rivers. Such approaches can be used to take advantage of the substantial amounts of biological data collected at ungauged rivers to evaluate the potential ecological consequences of altered streamflows. National-scale random forest statistical models are developed to predict the likelihood that ungauged rivers have altered streamflows (relative to expected natural condition) for five hydrologic metrics (HMs) representing different aspects of the streamflow regime. The models use human disturbance variables, such as number of dams and road density, to predict the likelihood of streamflow alteration....
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This geospatial database covers vegetation land cover and land use for Wind Cave National Park and surrounding areas and is authorized as part of the USGS/NPS Vegetation Mapping Program http://www.usgs.gov/core_science_systems/csas/vip/index.html. The program is administered by the Biological Resources Division (BRD) of the United States Geological Survey (USGS). This mapping effort was performed by the US Bureau of Reclamation's (USBR) Remote Sensing and GIS Group, Technical Service Center, Denver, CO. The vegetation mapping program is part of a larger Inventory and Monitoring (I&M) program started by the National Park Service (NPS) http://science.nature.nps.gov/im/. I&M goals are, among others, to map the vegetation...
Projected increases in aridity throughout the southwestern United States due to anthropogenic climate change will likely cause reductions in perennial vegetation cover, which leaves soil surfaces exposed to erosion. Accelerated rates of dust emission from wind erosion have large implications for ecosystems and human well-being, yet there is poor understanding of the sources and magnitude of dust emission in a hotter and drier climate. Here we use a two-stage approach to compare the susceptibility of grasslands and three different shrublands to wind erosion on the Colorado Plateau and demonstrate how climate can indirectly moderate the magnitude of aeolian sediment flux through different responses of dominant plants...
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This raster file represents classification and mapping results for priority area 1 of the Cody Region and Yellowstone National Park land cover remote sensing project. Extensive field collected reference data describing the range of plant communities and habitat types comprising the Bighorn Basin have been analyzed to produce a classification of land cover types based on the Wyoming Game and Fish Department (WGFD) Wildlife Observation System (WOS). Corresponding land cover classes were subsequently spatially modeled using a non-parametric Classification and Regression Tree (CART) algorithm that integrated both spectral data from Landsat Thematic Mapper satellite imagery and a variety of ancillary environmental data...
This study uses an integrative approach to study the water-quality impacts of future global climate and land-use changes. In this study, changing land-use types was used as a mitigation strategy to reduce the adverse impacts of global climate change on water resources. The climate scenarios were based on projections made by the Intergovernmental Panel on Climate Change (IPCC) and the United Kingdom Hadley Centre's climate model (HadCM2). The Thornthwaite water-balance model was coupled with a land-use model (L-THIA) to investigate the hydrologic effects of future climate and land-use changes in the Ohio River Basin. The land-use model is based on the Soil Conservation Service's curve-number method. It uses the curve...
Categories: Publication; Types: Citation; Tags: ASFA 3: Aquatic Pollution & Environmental Quality, Climatic changes, Data Visualization & Tools, Environment management, Freshwater, All tags...
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ICLUS Estimated Developed Land Use change from 2010 to 2060. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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Anthropogenic impervious surfaces affect hydrology, water quality, and ecological health and are widely studied. Previous studies have been limited, however, by a lack of consistent representation of imperviousness nationally as a time series prior to 2001. This product presents estimated imperviousness at 60-meter spatial resolution, for the time periods 1974, 1982, 1992, 2002, and 2012. The mapping was derived by comparing imperviousness from the National Land Cover Database (NLCD) 2011 to national land use from the 2012 U.S. Geological Survey NAWQA Wall-to-wall Anthropogenic Land Use Trends (NWALT) product. The NWALT land use product includes a series of 60-m national rasters, containing 18 land use classes,...
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Columbia County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Madison County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Gulf County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Gadsden County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Lake County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Miami-Dade County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were later field verified between January 2019 and February 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This 30-meter resolution data set represents the imperviousness layer for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System, browse graphic: nlcd01-partition. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3295?name=nlcd01-partitions.jpg. The National Land Cover Data Set for 2001 was produced through a cooperative project...
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The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic...
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The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic...


map background search result map search result map Land Cover Mapping Database for the Cody Region and Absaroka Front - 30 meter Devils Tower National Monument Vegetation Mapping Project - Spatial Vegetation Data Effigy Mounds National Monument Vegetation Mapping Project - Spatial Vegetation Data Wind Cave National Park Vegetation Mapping Project - Spatial Vegetation Data Coefficient-based consistent mapping of imperviousness in the conterminous U.S. at 60-m resolution for 1974, 1982, 1992, 2002, and 2012 Oklahoma Ecological Systems Mapping - Phase 1 dataset Monitoring Hawaiian Biodiversity: Pilot study to assess changes to Hawaii Island forest birds and their habitat - 2015 bird dataset Monitoring Hawaiian Biodiversity: Pilot study to assess changes to Hawaii Island forest birds and their habitat - 1977 vegetation species dataset Reported and inventoried crop and irrigated acreage in Miami-Dade County, Florida, 1982-2021 BLM REA NGB 2011 ICLUS Estimated Urban Development by 2060 Reported and inventoried crop and irrigated acreage in Columbia County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Madison County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Lake County, Florida, 1982-2020 Reported and inventoried crop type and irrigated acreage in Gadsden County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Gulf County, Florida, 1982-2021 National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 3, Southwest United States: IMPV01_3 National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1 Devils Tower National Monument Vegetation Mapping Project - Spatial Vegetation Data Wind Cave National Park Vegetation Mapping Project - Spatial Vegetation Data Monitoring Hawaiian Biodiversity: Pilot study to assess changes to Hawaii Island forest birds and their habitat - 2015 bird dataset Monitoring Hawaiian Biodiversity: Pilot study to assess changes to Hawaii Island forest birds and their habitat - 1977 vegetation species dataset Reported and inventoried crop type and irrigated acreage in Gadsden County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Gulf County, Florida, 1982-2021 Reported and inventoried crop and irrigated acreage in Madison County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Columbia County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Lake County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Miami-Dade County, Florida, 1982-2021 Land Cover Mapping Database for the Cody Region and Absaroka Front - 30 meter Oklahoma Ecological Systems Mapping - Phase 1 dataset BLM REA NGB 2011 ICLUS Estimated Urban Development by 2060 National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 3, Southwest United States: IMPV01_3 National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1 Coefficient-based consistent mapping of imperviousness in the conterminous U.S. at 60-m resolution for 1974, 1982, 1992, 2002, and 2012