53 datasets found
  1. Terrain: Slope Map

    • pacificgeoportal.com
    • hub.arcgis.com
    • +5more
    Updated Dec 30, 2013
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    Esri (2013). Terrain: Slope Map [Dataset]. https://www.pacificgeoportal.com/datasets/a1ba14d09df14f42ad6ca3c4bcebf3b4
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    Dataset updated
    Dec 30, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map provides a colorized representation of slope, generated dynamically using server-side slope function on Terrain service. The degree of slope steepness is depicted by light to dark colors - flat surfaces as gray, shallow slopes as light yellow, moderate slopes as light orange and steep slopes as red-brown. A scaling is applied to slope values to generate appropriate visualization at each map scale. This service should only be used for visualization, such as a base layer in applications or maps. If access to non-scaled slope values is required, use the Slope Degrees or Slope percent functions, which return values from 0 to 90 degrees, or 0 to 1000%, respectively.What can you do with this layer?Use for Visualization: Yes. This colorized slope is appropriate for visualizing the steepness of the terrain at all map scales. This layer can be added to applications or maps to enhance contextual understanding. Use for Analysis: No. 8 bit color values returned by this service represent scaled slope values. For analysis with non-scaled values, use the Slope Degrees or Slope percent functions.For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.

    This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

  2. Slope derived from 1" SRTM DEM-S

    • data.csiro.au
    Updated Jan 4, 2016
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    John Gallant; Jenet Austin (2016). Slope derived from 1" SRTM DEM-S [Dataset]. http://doi.org/10.4225/08/5689DA774564A
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    Dataset updated
    Jan 4, 2016
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    John Gallant; Jenet Austin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 11, 2000 - Feb 22, 2000
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    Slope measures the inclination of the land surface from the horizontal. The percent slope and degrees slope products represent this inclination as the ratio of change in height to distance.

    The slope (percentage) and slope (degrees) products were derived from the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 second resolution SRTM data acquired by NASA in February 2000. The calculation of slope from DEM-S accounted for the varying spacing between grid points in the geographic projection.

    The 3 second resolution slope products were generated from the 1 second percent slope/degrees slope products and masked by the 3” water and ocean mask datasets.

    Lineage: Source data 1. 1 arc-second percent slope product or 1 second degrees slope 2. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016). 3. 3 second resolution SRTM water body and ocean mask datasets

    Slope calculation Slope was calculated from DEM-S using the finite difference method (Gallant and Wilson, 2000). The different spacing in the E-W and N-S directions due to the geographic projection of the data was accounted for by using the actual spacing in metres of the grid points calculated from the latitude.

    The slope calculation was performed on 1° x 1° tiles, with overlaps to ensure correct values at tile edges.

    The 3 second resolution versions were generated from the 1 second percent or degrees slope products. This was done by aggregating the 1” data over a 3 x 3 grid cell window and taking the mean of the nine values that contributed to each 3” output grid cell. The 3” data were then masked using the SRTM 3” ocean and water body datasets.

    References Gallant, J.C. and Wilson, J.P. (2000) Primary topographic attributes, chapter 3 in Wilson, J.P. and Gallant, J.C. Terrain Analysis: Principles and Applications, John Wiley and Sons, New York.

  3. Terrain: Slope Percent

    • hub.arcgis.com
    • cacgeoportal.com
    Updated Oct 3, 2022
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    Esri (2022). Terrain: Slope Percent [Dataset]. https://hub.arcgis.com/datasets/304e82c39ca14273b41c26f07e692e93
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    Dataset updated
    Oct 3, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer provides slope percent rise values calculated dynamically from the elevation data (within the current extents) using the server-side slope function applied to the Terrain layer. Percent of slope is determined by dividing the amount of elevation change by the amount of horizontal distance covered (sometimes referred to as "the rise divided by the run"), and then multiplying the result by 100. The values range from 0 to essentially infinity. When the slope angle equals 45 degrees, the rise is equal to the run. Expressed as a percentage, the slope of this angle is 100 percent. As the slope approaches vertical (90 degrees), the percentage slope approaches infinity.

    WARNING: Slope is computed in the projection specified by the client software. The server resamples the elevation data to the requested projection and pixel size and then computes slope. Slope should be requested in a projection that maintains correct scale in x and y directions for the area of interest. Using geographic coordinates will give incorrect results. For the WGS84 Mercator and WGS Web Mercator (auxiliary sphere) projections used by many web applications, a correction factor has been included to correct for latitude-dependent scale changes.What can you do with this layer?Use for Visualization: No. This image service provides numeric values indicating terrain characteristics. Due to the limited range of values, this service is not generally appropriate for visual interpretation, unless the client application applies an additional color map. Use for Analysis: Yes. This layer provides numeric values indicating slope percent, calculated based on the defined cell size. Cell size has an effect on the slope values.For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

  4. n

    Hallakort / Slope map

    • gatt.natt.is
    • catalogue.arctic-sdi.org
    • +1more
    Updated Jul 11, 2024
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    Institute of Nature Research (2024). Hallakort / Slope map [Dataset]. https://gatt.natt.is/geonetwork/srv/api/records/f35cd4eb-2574-47c3-ae2c-607aca1d97ec
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    www:link-1.0-http--link, ogc:wms-1.3.0-http-get-capabilitiesAvailable download formats
    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Institute of Nature Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Slope map of Iceland (in Degrees and Percent units).

    The slope gradient (slope, slope steepness) identifies the steepest downhill slope for a location in a surface: “the inclination of the land surface with respect to the horizontal plane”

    Basic local land-surface parameters. First partial derivative from surface.

  5. k

    Milford DTM slope percent LiDAR 2017 18

    • kars.geoplatform.ku.edu
    • kars.ku.edu
    • +1more
    Updated Mar 10, 2023
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    The University of Kansas (2023). Milford DTM slope percent LiDAR 2017 18 [Dataset]. https://kars.geoplatform.ku.edu/maps/milford-dtm-slope-percent-lidar-2017-18/about
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    Dataset updated
    Mar 10, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Milford Lake in Geary, Clay, and Dickinson Counties, Kansas.

  6. c

    Steep Slopes (Tacoma)

    • data.cityoftacoma.org
    Updated Dec 30, 2024
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    City of Tacoma GIS (2024). Steep Slopes (Tacoma) [Dataset]. https://data.cityoftacoma.org/datasets/43139ac9b1c74605bdfcbab523ef19b6
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    Dataset updated
    Dec 30, 2024
    Dataset authored and provided by
    City of Tacoma GIS
    License

    https://geohub.cityoftacoma.org/pages/disclaimerhttps://geohub.cityoftacoma.org/pages/disclaimer

    Area covered
    Description

    This layer generally describes Geologically Hazardous Areas as defined in TMC 13.11.700, including erosion and landslide hazard areas. It is used to review changes to these areas including development proposals, proposals for vegetation modification, and potential violations for compliance with critical area and building codes.This layer was derived from 2018 bare earth lidar. The initial analysis steps include: slope tool to create a % rise surface then using the int tool and reclassify using the 0-15, 15-25, 25-40 and >40 percent slope. Those classifications were converted to polygons. Further refinement was done to reduce the number of polygons. All areas in the >15% classification were deleted, all polygons <200ft in length and all polygons < 100 sq. ft. in area were deleted. Additional simplifying was done to create smoother boundaries of areas and a series of positive and negative buffers was used to remove holes in areas. Additional refinement to this was done including: (Deleted polygons <= 200 sq. ft. for Slope Category 15 - 25%. Deleted polygons <= 100 sq. ft. for Slope Category 25 - 40% & Over 40%)Data Steward contact: Craig Kuntz, ckuntz@cityoftacoma.org or Lisa Spadoni, Natural Resources Program Manager, lspadoni@cityoftacoma.org.

  7. k

    Perry DTM slope percent LiDAR 2015 18

    • hub.kansasgis.org
    • kars.geoplatform.ku.edu
    • +1more
    Updated May 4, 2023
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    The University of Kansas (2023). Perry DTM slope percent LiDAR 2015 18 [Dataset]. https://hub.kansasgis.org/datasets/KU::perry-dtm-slope-percent-lidar-2015-18
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    Dataset updated
    May 4, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Perry Lake in Jefferson County, Kansas.

  8. b

    25 Percent Plus Slope Areas

    • data.bellevuewa.gov
    • hub.arcgis.com
    Updated May 2, 2023
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    City of Bellevue (2023). 25 Percent Plus Slope Areas [Dataset]. https://data.bellevuewa.gov/datasets/25-percent-plus-slope-areas-1
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    Dataset updated
    May 2, 2023
    Dataset authored and provided by
    City of Bellevue
    Area covered
    Description

    This feature class describes areas in which the slope is 25% or greater. AESI developed these polygons based on 6-foot horizontal resolution LiDAR data (Puget Sound LiDAR Consortium [PSLC], 2000-2005). Polygons with area less than 1,000 square feet were removed as directed by Mr. Rick Watson, P.E., City of Bellevue. Remaining polygons were dissolved into a single polygon. This feature class is part of Appendix C, GIS Files and Documentation, of the Infiltration Infeasibility Analysis and Technical Report, prepared for the City of Bellevue Utilities Department by Associated Earth Sciences, Inc, April 4, 2016.

  9. Terrain

    • opendata.rcmrd.org
    • pacificgeoportal.com
    • +11more
    Updated Jul 4, 2013
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    Esri (2013). Terrain [Dataset]. https://opendata.rcmrd.org/datasets/58a541efc59545e6b7137f961d7de883
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    Dataset updated
    Jul 4, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This dynamic World Elevation Terrain service provides numeric values representing ground surface heights, based on a digital terrain model (DTM). The ground heights are based on multiple sources. Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights.What can you do with this layer?Use for Visualization: This layer is generally not optimal for direct visualization. By default, 32 bit floating point values are returned, resulting in higher bandwidth requirements. Therefore, usage should be limited to applications requiring elevation data values. Alternatively, client applications can select from numerous additional functions, applied on the server, that return rendered data. For visualizations such as multi-directional hillshade, hillshade, elevation tinted hillshade, and slope, consider using the appropriate server-side function defined on this service.Use for Analysis: Yes. This layer provides data as floating point elevation values suitable for use in analysis.Note: This image services combine data from different sources and resample the data dynamically to the requested projection, extent and pixel size. For analyses using ArcGIS Desktop, you can filter a dataset, specify the projection, extent and cell size using the Make Image Server Layer geoprocessing tool.Server Functions: This layer has server functions defined for the following elevation derivatives. In ArcGIS desktop, server function can be invoked from Layer Properties - Processing Templates.

    Slope Degrees Slope Percent Aspect Ellipsoidal height Hillshade Multi-Directional Hillshade Dark Multi-Directional Hillshade Elevation Tinted Hillshade Slope Map Aspect Map Data Sources and Coverage: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see Elevation Coverage Map.Mosaic Method: This image service uses a default mosaic method of "By Attribute”, using Field 'Best' and target of 0. Each of the rasters has been attributed with ‘Best’ field value that is generally a function of the pixel size such that higher resolution datasets are displayed at higher priority. Other mosaic methods can be set, but care should be taken as the order of the rasters may change. Where required, queries can also be set to display only specific datasets such as only NED or the lock raster mosaic rule used to lock to a specific dataset.Accuracy: The accuracy of these services will vary as a function of location and data source. Please refer to the metadata available in the services, and follow the links to the original sources for further details. An estimate of CE90 and LE90 are included as attributes, where available.This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single request.This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

  10. d

    Data from: Percent-slope classes to characterize the unsaturated zone in...

    • datadiscoverystudio.org
    html
    Updated Mar 1, 2003
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    (2003). Percent-slope classes to characterize the unsaturated zone in North Carolina [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/768a79e6d09b49138afc7b344459f25d/html
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    htmlAvailable download formats
    Dataset updated
    Mar 1, 2003
    Area covered
    Description

    This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a rating for unsaturated zone and watershed characteristics for use by the State of North Carolina in assessing more than 11,000 public water-supply wells and approximately 245 public surface-water intakes for susceptibility to contamination. For ground-water supplies, the digital data sets used in the assessment included unsaturated zone rating, vertical series hydraulic conductance, land-surface slope, and land cover. For assessment of public surface-water intakes, the data sets included watershed characteristics rating, average annual precipitation, land-surface slope, land cover, and ground-water contribution. Documentation for the land-use data set applies to both the unsaturated zone and watershed characteristics ratings. Documentation for the estimated depth-to-water map used in the calculation of the vertical series hydraulic conductance also is included.

  11. k

    Cheney DTM slope percent LiDAR 2018

    • hub.kansasgis.org
    • kars.ku.edu
    Updated Mar 9, 2023
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    The University of Kansas (2023). Cheney DTM slope percent LiDAR 2018 [Dataset]. https://hub.kansasgis.org/datasets/KU::cheney-dtm-slope-percent-lidar-2018
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    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Cheney Lake in Reno, Kingman, and Sedgwick Counties, Kansas.

  12. k

    Melvern DTM slope percent LiDAR 2018

    • kars.geoplatform.ku.edu
    • kars.ku.edu
    Updated Mar 10, 2023
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    The University of Kansas (2023). Melvern DTM slope percent LiDAR 2018 [Dataset]. https://kars.geoplatform.ku.edu/maps/melvern-dtm-slope-percent-lidar-2018
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    Dataset updated
    Mar 10, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Melvern Lake in Osage County, Kansas.

  13. k

    Tuttle Creek DTM slope percent LiDAR 2017 18

    • hub.kansasgis.org
    • kars-geoplatform-ku.hub.arcgis.com
    Updated May 12, 2023
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    The University of Kansas (2023). Tuttle Creek DTM slope percent LiDAR 2017 18 [Dataset]. https://hub.kansasgis.org/datasets/KU::tuttle-creek-dtm-slope-percent-lidar-2017-18
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    Dataset updated
    May 12, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Tuttle Creek Lake in Pottawatomie and Riley Counties, Kansas.

  14. Combined slope and aspect map of the swath sonar bathymetry in Gakkel Ridge...

    • doi.pangaea.de
    zip
    Updated Nov 23, 2017
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    Combined slope and aspect map of the swath sonar bathymetry in Gakkel Ridge during the POLARSTERN cruise PS101 (ARK-XXX/3), created using ArcGIS [Dataset]. https://doi.pangaea.de/10.1594/PANGAEA.883501
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    zipAvailable download formats
    Dataset updated
    Nov 23, 2017
    Dataset provided by
    Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    PANGAEA
    Authors
    Laura Hehemann; Autun Purser
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    Graphing topological features of the ocean seafloor provides insight for diverse scientific disciplines. Here, we provide visual representation of the combined slope and aspect of the swath sonar bathymetry during the POLARSTERN cruise PS101 (ARK-XXX/3). This dataset contains two raster grids in GeoTiff format (color-rgb type and value type), a symbology classification layer file, and an overview map with legend. The value-type GeoTIFF has an accompanying symbology layer file that can be applied in ArcGIS. Each pixel value has an associated color (aspect) and hue (slope) classification. This combination of aspect and slope makes this layer uniquely informative and indended for visualization purposes; see "PS101_aspect_slope_map.png (hdl:10013/epic.51997.d001)" for a map preview. The orientation aspect values are from 0 to 359 degrees and the slope values are 5, 15, 30, and 45 percent rise. Values less than 5 percent are flat areas and have no associated orientation values. The GeoTiff has a pixel size of 100 m x 100 m and was created using ArcGIS 10.5 software, in stereographic polar projection, datum WGS 84. […]

  15. k

    Clinton DTM slope percent LiDAR 2015

    • kars.geoplatform.ku.edu
    • hub.kansasgis.org
    • +1more
    Updated Jul 22, 2022
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    The University of Kansas (2022). Clinton DTM slope percent LiDAR 2015 [Dataset]. https://kars.geoplatform.ku.edu/maps/clinton-dtm-slope-percent-lidar-2015
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    Dataset updated
    Jul 22, 2022
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Clinton Lake in Douglas County, Kansas.

  16. a

    WhittellForest Slope Percent Labels

    • gblel-dlm.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 24, 2020
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    University of Nevada, Reno (2020). WhittellForest Slope Percent Labels [Dataset]. https://gblel-dlm.opendata.arcgis.com/items/e492400101314f0d891ac6b7c39aaad1
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    Dataset updated
    Jun 24, 2020
    Dataset authored and provided by
    University of Nevada, Reno
    Area covered
    Description

    Slope and hillshade was derived primarily from the 2017 Washoe County 3DEP LIDAR with some inputs in the Tahoe Basin from the 2010 Tahoe Basin LIDAR. The two DEMs were combined into a single DEM and a hillshade and slope map was derived from that DEM. Labels were created by running a 9x9 focal mean, reclassifying in 10% increments, grouping clusters of similar pixels, and merging clusters

  17. k

    Hillsdale DTM slope percent LiDAR 2018

    • kars.geoplatform.ku.edu
    Updated Mar 9, 2023
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    The University of Kansas (2023). Hillsdale DTM slope percent LiDAR 2018 [Dataset]. https://kars.geoplatform.ku.edu/items/40f51c9fd7ea45b0863656d620c79927
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    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Hillsdale Lake in Miami County, Kansas.

  18. k

    Marion DTM slope percent LiDAR 2018

    • kars.geoplatform.ku.edu
    • kars.ku.edu
    • +1more
    Updated Mar 9, 2023
    + more versions
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    The University of Kansas (2023). Marion DTM slope percent LiDAR 2018 [Dataset]. https://kars.geoplatform.ku.edu/datasets/marion-dtm-slope-percent-lidar-2018
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    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    This web map was created to support reconnaissance of shoreline wetlands around Marion Lake in Marion County, Kansas.

  19. EnviroAtlas - 2011 Agricultural Land Cover on Steep Slopes for the...

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +2more
    esri rest
    Updated Feb 8, 2018
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    U.S. Environmental Protection Agency (2018). EnviroAtlas - 2011 Agricultural Land Cover on Steep Slopes for the Conterminous United States [Dataset]. https://data.wu.ac.at/schema/data_gov/YTU2ZWEwNzUtNDIwMC00NTlhLTk3YTItMzgzMmEyOGY2Nzlj
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    esri restAvailable download formats
    Dataset updated
    Feb 8, 2018
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    United States, 280a9662793d861ae73db5a2469f7df4828a2148
    Description

    This EnviroAtlas dataset represents the percentage land area that is classified as agricultural land cover that occurs on slopes above a given threshold for each 12-digit hydrologic unit code (HUC) in the conterminous United States. Agricultural land cover is defined using the EnviroAtlas hybrid Cropland Data Layer (CDL) - 2011 National Land Cover Dataset (NLCD). Percentage slope values were derived from the 1 arc-second National Elevation Dataset (NED). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  20. n

    Circum-Arctic Map of Permafrost and Ground-Ice Conditions - Datasets - North...

    • catalog.northslopescience.org
    Updated Feb 23, 2016
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    (2016). Circum-Arctic Map of Permafrost and Ground-Ice Conditions - Datasets - North Slope Science Catalog [Dataset]. https://catalog.northslopescience.org/dataset/1775
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    Dataset updated
    Feb 23, 2016
    Area covered
    Arctic
    Description

    The Circum-Arctic permafrost and ground ice map is available via ftp in ESRI Shapefile format and Equal-Area Scalable Earth Grid (EASE-Grid) format. See the Format section for an explanation of the files provided via ftp. The circumpolar permafrost and ground ice data contribute to a unified international data set that depicts the distribution and properties of permafrost and ground ice in the Northern Hemisphere (20°N to 90°N). The re-gridded data set shows discontinuous, sporadic, or isolated permafrost boundaries. Permafrost extent is estimated in percent area (90-100%, 50-90%, 10-50%, <10%, and no permafrost). Relative abundance of ground ice in the upper 20 m is estimated in percent volume (>20%, 10-20%, <10%, and 0%). The data set also contains the location of subsea and relict permafrost. the gridded data are gridded at 12.5 km, 25 km, and 0.5 degree resolution. The shapefiles were derived from the original 1:10,000,000 paper map (Brown et al. 1997) Permafrost, or permanently frozen ground, is ground (soil, sediment, or rock) that remains at or below 0°C for at least two years (Permafrost Subcommittee, 1988). It occurs both on land and beneath offshore arctic continental shelves, and underlies about 22% of the Earth's land surface. For more information on the creation of the original map, see Heginbottom et al. (1993). The original paper map also includes information on the relative abundance of ice wedges, massive ice bodies and Pingos, ranges of permafrost temperature and thickness (Brown et al. 1997).

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Esri (2013). Terrain: Slope Map [Dataset]. https://www.pacificgeoportal.com/datasets/a1ba14d09df14f42ad6ca3c4bcebf3b4
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Terrain: Slope Map

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178 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 30, 2013
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

This map provides a colorized representation of slope, generated dynamically using server-side slope function on Terrain service. The degree of slope steepness is depicted by light to dark colors - flat surfaces as gray, shallow slopes as light yellow, moderate slopes as light orange and steep slopes as red-brown. A scaling is applied to slope values to generate appropriate visualization at each map scale. This service should only be used for visualization, such as a base layer in applications or maps. If access to non-scaled slope values is required, use the Slope Degrees or Slope percent functions, which return values from 0 to 90 degrees, or 0 to 1000%, respectively.What can you do with this layer?Use for Visualization: Yes. This colorized slope is appropriate for visualizing the steepness of the terrain at all map scales. This layer can be added to applications or maps to enhance contextual understanding. Use for Analysis: No. 8 bit color values returned by this service represent scaled slope values. For analysis with non-scaled values, use the Slope Degrees or Slope percent functions.For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.

This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

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