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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
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This dataset consists of a detailed digital map and summary of irrigated acreage during the 2016 growing season developed for Polk County, Florida. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system.
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The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Abbeville County, Aiken County, Allendale County, Anderson County, Bamberg County, All tags...
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This raster dataset depicts percent canopy cover derived from 1-m conifer classifications. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles, the conifer polygons...


map background search result map search result map Polk County Irrigated Agricultural Land Use Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1977 Cottonwood Lake Study Area-Wetland Vegetation Zones-1979 Cottonwood Lake Study Area-Wetland Vegetation Zones-1980 Cottonwood Lake Study Area-Wetland Vegetation Zones-1983 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1987 Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Cottonwood Lake Study Area-Wetland Vegetation Zones-1993 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 Cottonwood Lake Study Area-Wetland Vegetation Zones-2010 Cottonwood Lake Study Area-Wetland Vegetation Zones-2012 Canopy cover classes of conifers within Nevada and northeastern California sage-grouse habitat, by quadrant (2017) Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014 Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1979 Cottonwood Lake Study Area-Wetland Vegetation Zones-1977 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1987 Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-1983 Cottonwood Lake Study Area-Wetland Vegetation Zones-1980 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Cottonwood Lake Study Area-Wetland Vegetation Zones-1993 Cottonwood Lake Study Area-Wetland Vegetation Zones-2010 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2012 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014 Polk County Irrigated Agricultural Land Use Canopy cover classes of conifers within Nevada and northeastern California sage-grouse habitat, by quadrant (2017) Stream Lines Used to Produce the South Carolina StreamStats 2018 Release