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This dataset depicts vegetation and landcover at a broad scale for Tule Lake National Wildlife Refuge. It was created through interpretation of aerial imagery (NAIP orthophotography) acquired in August 2014 by the USDA. Ecognition software was then used to create segments of the imagery and those segments were manually classified by a GIS Analyst with the help of refuge biologists and staff with expert knowledge of the local conditions. The GIS Analyst also made a reconnaissance trip to the area in the fall of 2014 to assist with image interpretation. No systematically collected field data were available to create a classification at a finer level, such as the Alliance or Associate level and so this product does...
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The Hydrology Line Feature Class defines linear hydrographic features on RSL and in the region of hydrologic influence (RHI). The line feature class is composed of NHD Plus streams outside of the refuge borders in the region of hydrologic influence (RHI) and more detailed digitzed canals, ditches and streams on RSL based off 2010 National Agriculture Imagery Program (NAIP) 10 meter aerial imagery.
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This file contains the boundary for the Lahontan cutthroat trout (LCT) Geographic Management Units (GMU). The USDA Watershed boundary dataset was used to delineate the GMU boundary.
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Management units for Ellicott Slough NWR. These boundaries were updated as part of the Comprehensive Conservation Plan in 2009.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Bark Beetle (Dendroctonus spp.) as a top 3 ecosystem stressor in the Montane Invasive Animal category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for...
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Borderlands Research Institute Stressors ranking excercise heatmap. This map shows the category Ecosystem Services and the percentage of participants working in each county or municipality who ranked Availability of Water as an ecosystem service that could benefit most from collaborative conservation.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Feral Hogs (Sus Scrofa) as a top 3 ecosystem stressor in the Riparian Invasive Animal category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each...
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HEM events were created from fish screens, stream gages, and surface water diversions within the Lemhi SubBasin in Idaho. Data was gathered from the following sources: Idaho Fish and Game, Idaho Power, Idaho Water Engineering, and Idaho Water Resources Water Rights. The data assembled represented fish screens, water withdrawals from the stream, and flow gauging stations.
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This is the 'description' metadata for the Service Definition File
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This dataset describes plume boundary extents for 2,6-dinitrotoluene (2,6-DNT) in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin for various time intervals between 2000 - 2018.
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U.S. Fish and Wildlife Service Road Inventory. This dataset depicts only those roads that are managed bythe USFWS and are on USFWS owned lands.
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Contours generated from 10m National Elevation Dataset and clipped to the boundary of Bear Valley National Wildlife Refuge.
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The Hydrology Line Feature Class defines linear hydrographic features on RSL and in the region of hydrologic influence (RHI). The line feature class is composed of NHD Plus streams outside of the refuge borders in the region of hydrologic influence (RHI) and more detailed digitzed canals, ditches and streams on RSL based off 2010 National Agriculture Imagery Program (NAIP) 1 meter aerial imagery.
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This data set depicts the facility point features (i.e. gates, boat launches, blinds) at the Colusa National Wildlife Refuge in Colusa County, California. This facilties dataset was heads-up digitized using aerial imagery. Certain facility features (gates) were snapped to the Sacramento National Wildlife Refuge Complex - Roads dataset.
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This dataset depicts land cover and vegetation for San Joaquin River NWR. It uses the most current version of CalVeg from the U.S. Forest Service and is clipped to the refuge boundary. This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 6, the Central Coast . Source imagery for this layer ranges from 1997 - 2013. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database. USGS Land Use / Land Cover Anderson 1 classification system is included in the database to meet national standard...
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SSURGO soils data from the USDA, Natural Resources Conservation Service, clipped to the boundary of Upper Klamath NWR.
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Soils data compiled from USDA, Natural Resources Conservation Service, SSURGO data, then clipped to the refuge boundary. Some of the attributes have been added to the dataset, but not the complete set. For additional attributes, consult the full SSURGO data.
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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Landforms along the Pacific, Gulf of Mexico, and Atlantic coastlines for the conterminous United States are attributed with the relative vulnerability of horizontal erosion due to sea-level rise to characterize coastal zone stability. The position and extent of landforms are geospatially indexed as line-events where these coastal zone features are intersected by the linear-referenced 2013 - 2014 U.S. Geological Survey National Hydrography Dataset Coastline, which corresponds to the National Oceanic and Atmospheric Administration (NOAA) 2013 - 2014 mean high water level datum delineated in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach...


map background search result map search result map Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Pacific Ocean National Hydrography Dataset Coastline Contours, 100ft, Bear Valley NWR Vegetation and Landcover, Tule Lake NWR Hydrology line features, Ruby Lake NWR Roads, Klamath Marsh NWR Hydrology Line Features, Modoc NWR Soils (SSURGO), Upper Klamath NWR CalVeg Vegetation Data, San Joaquin River NWR Facilities, Colusa National Wildlife Refuge SSURGO Soils, Bitter Creek NWR Lahontan Cutthroat Trout Geographic Management Unit Areas Sea Level Rise Data: 1-6 ft for Marin Islands NWR NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge Management Units for Ellicott Slough NWR Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Availability of Water heatmap - stressor ranking exercise Riparian - Invasive Animal Stressors - Feral Hogs (Sus scrofa) Montane - Invasive Animal Stressors - Bark Beetles 2,6-DNT Plume Boundaries Management Units for Ellicott Slough NWR 2,6-DNT Plume Boundaries CalVeg Vegetation Data, San Joaquin River NWR SSURGO Soils, Bitter Creek NWR Contours, 100ft, Bear Valley NWR Vegetation and Landcover, Tule Lake NWR Facilities, Colusa National Wildlife Refuge Soils (SSURGO), Upper Klamath NWR Hydrology line features, Ruby Lake NWR Hydrology Line Features, Modoc NWR Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Lahontan Cutthroat Trout Geographic Management Unit Areas Riparian - Invasive Animal Stressors - Feral Hogs (Sus scrofa) Montane - Invasive Animal Stressors - Bark Beetles Availability of Water heatmap - stressor ranking exercise Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Pacific Ocean National Hydrography Dataset Coastline Roads, Klamath Marsh NWR NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge Sea Level Rise Data: 1-6 ft for Marin Islands NWR