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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...
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This dataset depicts the auto-tour route for Ruby Lake NWR. This is the publicly-accessible road network for the refuge. This dataset was created by digitizing the road network using 1m NAIP imagery in a GIS environment.
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
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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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A raster dataset representing the probability of the surrounding landscape (6.4km radius) supporting a greater sage-grouse lek.This dataset was made by mosaicking the probability of GRSG habitat layers (citation) and classifying them into unsuitable (0.01-0.25), low (0.25-0.50), moderate (0.50-0.65), and high (0.65-1.0) probabilities of the landscape supporting a lek. The publication date of this data is July 2016.
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Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors, including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity, all of which are accelerated by climate change. This dataset represents the geographic boundary of the Appalachian LCC.
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This product was derived from a clipped portion of the ~3m spatial resolution National Elevation Dataset. The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of meters, and are referenced...
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This dataset contains vegetation and land cover information for Antioch Dunes National Wildlife Refuge. It was created by visual interpretation and classification of aerial photography (National Agriculture Imagery Program) acquired in August 2014. Specifically, the NAIP imagery was segmented into polygons using eCognition Developer 9.0 software. Each segment was then classified by visually interpreting the aerial imagery. The interpretation process was facilitated by field data and geotagged field photos that were taken on the property in October 2014. No accuracy assessment was performed due to a limitation in the number of available ground control points.
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Some species respond to environments directly related to altitudinal variation. Elevation (e.g., DEM) is easily implemented in spatial modeling by limiting the model to the minimum and maximum values explicitly stated in the literature. DEMs are utilized directly and are measured in meters above mean sea level. The elevation dataset was derived from the National Elevation Dataset, elevation units are reported in meters. For more information regarding the National Elevation Dataset, see http://ned.usgs.gov/. This is a continuous data layer. These data are divided into 6 regions across the US (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). If you want complete coverage of the entire...
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A raster dataset of the 30-year normal, annual precipitation values. To represent the amount of annual precipitation that falls within the western United States. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy This data was published July 2016.
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A raster dataset of the 30-year normal, annual temperature values. To represent annual temperature values within the western United States. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. This data was published July 2016.
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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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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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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 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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The model for golden-winged warbler was acquired from Dolly Crawford (Ashland University), which was included in Chapter 3 of the 2012 conservation plan (Roth et al., 2012). Model was composed of cells of predicted Golden-Winged Warbler occurrence across the study region. The study region was determined by the expert opinion derived by the technical team regarding the core breeding populations of Golden-Winged Warbler presence and assigned to the Great Lakes Conservation Region and Appalachian Conservation Region. Within these areas, certain extents are recommended for Golden-Winged Warbler conservation, as they are priority species in those regions and do not promote the invasion of Blue-Winged Warbler, a known...
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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...
map background search result map search result map USGS Gap Analysis Project - Additional Data – Elevation Vegetation and Landcover, Tule Lake NWR Auto-tour route, Ruby Lake NWR Hydrology Point Feature, Modoc NWR Facilities, Colusa National Wildlife Refuge Lahontan Cutthroat Trout Geographic Management Unit Areas Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Golden-Winged Warbler Suitable Habitat Density of upstream dams_rivers Appalachian LCC Boundary_applcc-shp-004 GRSG Breeding Habitat Probability Raster United States Annual Precipiation Raster United States Annual Temperature Raster Sea Level Rise Estimates for San Pablo Bay NWR NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge Vegetation and Land Cover - Antioch Dunes National Wildlife Refuge Ten Foot Contours for Antioch Dunes National Wildlife Refuge Management Units for Ellicott Slough NWR Alabama Sinkholes November 2011 Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Hydrology Point Feature, Modoc NWR Vegetation and Land Cover - Antioch Dunes National Wildlife Refuge Auto-tour route, Ruby Lake NWR Management Units for Ellicott Slough NWR Ten Foot Contours for Antioch Dunes National Wildlife Refuge Vegetation and Landcover, Tule Lake NWR Facilities, Colusa National Wildlife Refuge Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Alabama Sinkholes November 2011 Lahontan Cutthroat Trout Geographic Management Unit Areas Appalachian LCC Boundary_applcc-shp-004 Density of upstream dams_rivers Golden-Winged Warbler Suitable Habitat GRSG Breeding Habitat Probability Raster Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline United States Annual Precipiation Raster United States Annual Temperature Raster USGS Gap Analysis Project - Additional Data – Elevation NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge Sea Level Rise Estimates for San Pablo Bay NWR