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Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
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This part of DS 781 presents data for the sediment-thickness map of the Pigeon Point to Monterey, California, region. The raster data file is included in "SedimentThickness_PigeonPointToSouthMontereyBay.zip," which is accessible from http://dx.doi.org/10.5066/F7F47M6T As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Pigeon Point and Monterey was generated from seismic-reflection data collected in 2009 and 2012 (USGS activities S-15-10-NC, S-06-11-MB and S-N1-09-MB) supplemented with outcrop and geologic structure from DS 781. The resulting grid covers an area of approximately 860 sq km. The volume of sediment...
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI,created using ArcGIS 10.2.2) values for Nevada during the breeding season.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada during summer, which is a surrogate for habitat conditions during the sage-grouse brood-rearing period.
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These data represent land cover and land use for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources [Multi-Resolution Land Characteristics (MRLC) Consortium, Agriculture and Agri-Food Canada (AAFC), and the Canadian Forest Service (CFS)], Canadian data are circa 2000, US are circa 2001. VALUE: 0 = NoData; 20 = Water; 30 = Barren; 31 = Ice/Snow; 34 = Developed; 50 = Scrub/Shrub; 80 = Wetland; 110 = Grassland; 120 = Agriculture; 210 = Coniferous; 220 = Deciduous; 230 = Mixed. This dataset was published in November 2010. The dataset was updated in 2014 to fix several no-data pixels along the US-Canada border. This dataset was developed by the Crown Managers Partnership, as part of...
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada. HSIs were calculated for spring, summer, and winter sage-grouse seasons, and then multiplied together to create this composite dataset.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Seamless DEM for the Crown of the Continent Ecosystem with a 50km buffer. This DEM was created using Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global data. The SRTM DEM had nodata values in several regions, particularly mountain tops. NoData holes were filled with ASTER Global DEM Version 2. Note: While the ASTER Global DEM does not have the NoData problems, the layers derived from the ASTER DEM (ex: slope, aspect) have sensor anomalies and artifacts, especially visible in the prairie regions. Data originally in WGS 1984 Vertical height in meters DEM created 2016-Feb-09
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada during the winter season, and is a surrogate for habitat conditions during periods of cold and snow.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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The raster file shows the areas that were functional and not functional in the 2015 Annual Habitat Survey. This is part of a study done in 2004 and 2006-2015 where aerial photos of the Rainwater Basin were taken and studied to determine landcover (hydrophyte water, agriculture water, hydrophytes, agriculture, or trees). Functional locations are areas that were hydrophyte water, agriculture water, or hydrophytes.
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This part of DS 781 presents data for the depth-to-transition map of the Pigeon Point to Monterey, California, region. The raster data file is included in "DepthToTransition_PigeonPointToSouthMontereyBay.zip," which is accessible from http://dx.doi.org/10.5066/F7F47M6T As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Pigeon Point and Monterey was generated from seismic-reflection data collected in 2009 and 2010 (USGS activities S-15-10-NC, S-06-11-MB and S-N1-09-MB) supplemented with outcrop and geologic structure from DS 781. The resulting grid covers an area of approximately 860 sq km. The depth to the transgressive...
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The raster file shows the areas that were ponded and not ponded in the 2015 Annual Habitat Survey. This is part of a study done in 2004 and 2006-2015 where aerial photos of the Rainwater Basin were taken and studied to determine landcover (hydrophyte water, agriculture water, hydrophytes, agriculture, or trees). Ponded locations are areas that were hydrophyte water or agriculture water.
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This part of DS 781 presents 2-m-resolution SWATHPlus data for the acoustic-backscatter map of Offshore of Monterey map area, California. These metadata describe acoustic-backscatter data collected and processed by California State University, Monterey Bay (CSUMB), Seafloor Mapping Lab and processed into a map sheet by the U.S. Geological Survey. The raster data files are included in "Backscatter _SWATH_Monterey.zip," which is accessible from http://dx.doi.org/10.5066/F7F47M6T. This 2-m-resolution SWATHPlus acoustic backscatter map of Offshore of Monterey map area, California, was generated from backscatter data collected by CSUMB using 234-kHz and 468-kHz SEA SWATHplus bathymetric sidescan-sonar systems. Within...


map background search result map search result map UMRR Pool 04 Topobathy UMRR Pool 05 Topobathy UMRR Pool 07 Topobathy UMRR Pool 08 Topobathy UMRR Pool 09 Topobathy UMRR Pool 13 Topobathy UMRR Pool 21 Topobathy Land Use & Land Cover in the Crown of Continent Ecosystem c2000 Spring Season Habitat Suitability Index raster dataset Summer Season Habitat Suitability Index raster dataset Winter Season Habitat Suitability Index raster dataset Composite Habitat Suitability Index raster dataset Backscatter [Swath]-- Offshore of Monterey Map Area, California Depth to Transition--Pigeon Point to Monterey, California Sediment Thickness--Pigeon Point to Monterey, California Functional Areas 2004-2015 Ponded Areas 2004-2015 Crown of the Continent DEM UMRR Pool 05a Topobathy UMRR Pool 05a Topobathy UMRR Pool 05 Topobathy UMRR Pool 21 Topobathy UMRR Pool 07 Topobathy UMRR Pool 08 Topobathy UMRR Pool 09 Topobathy UMRR Pool 13 Topobathy UMRR Pool 04 Topobathy Sediment Thickness--Pigeon Point to Monterey, California Depth to Transition--Pigeon Point to Monterey, California Ponded Areas 2004-2015 Functional Areas 2004-2015 Land Use & Land Cover in the Crown of Continent Ecosystem c2000 Summer Season Habitat Suitability Index raster dataset Winter Season Habitat Suitability Index raster dataset Composite Habitat Suitability Index raster dataset Spring Season Habitat Suitability Index raster dataset Crown of the Continent DEM