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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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The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. The maps outline areas called map units. The map units describe soils and other components that have unique properties, interpretations, and productivity. The information was collected at scales ranging from 1:12,000 to 1:63,360. More details were gathered at a scale of 1:12,000...
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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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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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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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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 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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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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Management units for Ellicott Slough NWR. These boundaries were updated as part of the Comprehensive Conservation Plan in 2009.
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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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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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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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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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Contours generated from 10m National Elevation Dataset and clipped to the boundary of Bear Valley National Wildlife Refuge.
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This dataset depicts staffed visitor stations within the Pacific Southwest Region of the U.S. Fish and Wildlife Service. Staffed visitor stations may be refuge offices that are open to the public during specified hours, or may be dedicated visitor centers. This dataset does not include kiosks or other areas which contain information for visitors but are not staffed. The locations of these stations are based on the USFWS Corporate Master Table, with additional editing and updates based on the input of field and visitor services staff.
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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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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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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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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 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 Auto-tour route, Ruby Lake NWR Roads, Klamath Marsh NWR Hydrology Point Feature, Modoc NWR Facilities, Colusa National Wildlife Refuge Staffed Visitor Stations - USFWS, Pacific Southwest Region Lahontan Cutthroat Trout Geographic Management Unit Areas Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Soils Data - Salinas River NWR Sea Level Rise Estimates for San Pablo Bay NWR 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 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 Soils Data - Salinas River NWR Auto-tour route, Ruby Lake NWR Management Units for Ellicott Slough NWR Ten Foot Contours for Antioch Dunes National Wildlife Refuge Contours, 100ft, Bear Valley NWR 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 Staffed Visitor Stations - USFWS, Pacific Southwest Region 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 Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline 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 Sea Level Rise Estimates for San Pablo Bay NWR