This map provides a colorized representation of slope, generated dynamically using server-side slope function on the Terrain layer. 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. Note: 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.Units: DegreesUpdate Frequency: QuarterlyCoverage: World/GlobalData Sources: 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 World Elevation Coverage Map.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.

Data were derived from 2014 6" resolution Island County lidar data using ArcGIS and Spatial Analyst Tools. The resulting raster was then converted to polygons. Polygons spanning elevation differences <10' were deleted.

This layer provides slope values in degrees calculated dynamically from the elevation data (within the current extents) using the server-side slope function applied on the Terrain layer. The values are integer and represent the angle of the downward sloping terrain (0 to 90 degrees). Note: slope is a function of the pixel size of the request, so at smaller scales the slope values are smaller as pixel sizes increase. Units: DegreesUpdate Frequency: QuarterlyCoverage: World/GlobalData Sources: 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 World Elevation Coverage Map.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. For use in visualization, use the Terrain: Slope Map. Use for Analysis: Yes. This layer provides numeric values indicating the average slope angle within a raster cell, calculated based on the defined cell size. Cell size has an effect on the slope values. There is a limit of 5000 rows x 5000 columns. For Slope values in Percent, use Terrain - Slope Percent layer.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.

This data set represents a 5-meter resolution LiDAR-derived percent slope layer for New Hampshire. It was generated from a statewide Esri Mosaic Dataset which comprised 8 separate LiDAR collections that covered the state as of January, 2020. The Mosaic Dataset was used as input to the ArcGIS Spatial Analyst "Slope" geoprocessing tool which calculates the percent slope for each cell of the input raster, in this case, the statewide mosaic dataset.

Open the Data Resource: https://doi.org/10.5066/P9EJ6PGT The marsh-forest boundary in the Chesapeake Bay was determined by geoprocessing high-resolution (1 square meter) land use and land cover data sets. Perpendicular transects were cast at standard intervals (30 meters) along the boundary within a GIS by repurposing the Digital Shoreline Analysis System (DSAS) Version 5.0, an ArcGIS extension developed by the U.S. Geological Survey. Average and maximum slope values were assigned to each transect from surface elevation data. The same values were also provided as points at the center of the transect where it crossed over the boundary. The slope values across the marsh-forest transition zone and at the boundary itself provide comprehensive data layers for local, state and federal managers to improve understanding of salt marsh migration. This additionally aids the U.S. Geological Survey in its effort to assess the coastal vulnerability and response of salt marsh ecosystems, including the Chesapeake Bay region.

Geographic Extent: Garrett County, MD, covering approximately 739 square miles. Dataset Description: Garrett County, MD 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of UTM Zone 17, NAD83 (2011), meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 6 individual 1829 meter X 1219 meter tiles for the pilot (948 individual 1829 meter X 1219 meter tiles for the entire project area), and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1829 meter X 1219 meter tile schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in spring of 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 87 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the Garrett County, MD project area (20 calibration control points).This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Garrett/MD_garrett_slope_m/ImageServer

This layer shows the slope (in percent) of Kalimantan calculated from the elevation layer (90 meter resolution): ArcToolBox, Spatial Analyst Tools, Surface, Slope (Output measurement: percent_rise).Data was prepared by the World Resources Institute for use in the Suitability Mapper (2012).

Raster functions are operations that apply processing directly to raster dataset pixels. The raster functions supplied here are the same operations applied to the 3 ft. DEM-related web services from NC OneMap (Aspect, Hillshade, Shaded Elevation, Shaded Relief, Slope, and raster contours for 1 foot, 2 feet, 4 feet, 20 feet, and 100 feet). The downloaded functions can be used in ArcGIS products.

These could be helpful if there is a need to use an NC OneMap DEM-derivative elevation product in a disconnected environment, an instance where web service use is not practical. The county-based DEMs can be downloaded and the raster functions applied in ArcGIS Pro, for use in an offline environment.

In the downloaded raster functions ZIP file are XML files for:

 Aspect
 Hillshade
 Shaded Elevation
 Shaded Relief
 Slope
 Raster Contours for intervals: 1 ft., 2 ft., 4 ft., 20 ft., 100 ft.

Information on using raster functions in ArcGIS Pro can be found here.

This dataset identifies areas with steep slopes in two categories used in local planning agencies: slopes 15-25% and slopes over 25% (slope=rise/run).

Geographic Extent: SANDY_Restoration_VA_MD_DC_QL2 Area of Interest covers approximately 2,002 square miles. Lot #5 contains the full project area Dataset Description: The SANDY_Restoration_VA_MD_DC_QL2 project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of UTM Zone 18 North, NAD83, meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 2283 individual 1500m x 1500m tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1500m x 1500m schema, and Breaklines in ESRI Shapefile format. The data was then converted to a horizontal projection/datum of NAD83 Maryland State Plane Coordinate System, Feet. LiDAR was delivered in Classified LAS 1.2 Files formatted to 1927 individual 4000' x 6000' tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 4000' x 6000' schema, and Breaklines in ESRI Shapefile format. Ground Conditions: LiDAR was collected in Winter 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 59 QA control points and 95 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the SANDY_Restoration_VA_MD_DC_QL2 project area.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Charles/MD_charles_slope_m/ImageServer

This layer provides slope percent rise values calculated dynamically from the elevation data (within the current extents) using the server-side slope function applied on 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.Units: Percent (%)Update Frequency: QuarterlyCoverage: World/GlobalData Sources: 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 World Elevation Coverage Map.

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. There is a limit of 5000 rows x 5000 columns. For Slope values in degrees, use Terrain - Slope Degrees layer. 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.

OrthoImagery/imagery_GIS_SLOPE_2007

This data set represents a 5-meter resolution LiDAR-derived degree slope layer for New Hampshire. It was generated from a statewide Esri Mosaic Dataset which comprised 8 separate LiDAR collections that covered the state as of January, 2020. The Mosaic Dataset was used as input to the ArcGIS Spatial Analyst "Slope" geoprocessing tool which calculates the degree slope for each cell of the input raster, in this case, the statewide mosaic dataset.

Dewberry collected LiDAR for ~3,942 square miles in various Virginia, West Virginia, and Maryland Counties. The acquisition was performed by Geodigital. This metadata covers the LiDAR produced for the Fairfax, Fauquier, Frederick, and Jefferson County project area. The nominal pulse spacing for this project is 1.6 ft (0.5 meters). This project was collected with a sensor which collects intensity values for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to contract specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground due to breakline proximity, and 11-Withheld. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 2150 tiles (1500 m x 1500 m) that cover this deliverable.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Frederick/MD_frederick_slope_m/ImageServer

Steep slopes for Anne Arundel County, MD. This dataset was created using ESRI's ArcGIS 10.7.1 with the Spatial Analyst extension. The source data was the County's 2020 Digital Elevation Model with a 1 foot resolution. The "Slope" command was used against the DEM to create a raster dataset with slope classifications based on the County Code (15 - 24.99%, 25% and greater). The raster dataset was then converted to a vector dataset by using the "Extract by Attribute" raster tool for both "15 to 25%" and "25% and greater". These two datasets were then merged together. Please download the shapefiles for the area of interest based on image below.Area 1, Area 2, Area 3, Area 4, Area 5Area 6, Area 7, Area 8, Area 9, Area 10Area 11, Area 12

Area with a slope equal to or greater than 10 percent. Date of last data update: 2003-01-15 This is official RLIS data. Contact Person: Joe Gordon joe.gordon@oregonmetro.gov 503-797-1587 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/1916 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

This SRTM Slope Map was created from level 1 SRTM NASA data which was cleaned and had holes patched. The slope map was created in ArcMap (presumably using the simple 3x3 nearest neighbour method). The data does not include the Shetland Islands as SRTM data becomes unreliable at 60N. The cell size is close to 90m. Data was acquired between the 11th - 20th Feb 2000. SRTM Slope Map was created from level 1 SRTM NASA data, slope map generated in ArcGIS using a basic nearest neighbour approach. Digital Terrain Model. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-30 and migrated to Edinburgh DataShare on 2017-02-20.

The slope image in this tile service from MassGIS shows the variation in elevation (steepness), expressed in degrees (0 is flat, 89 is nearly vertical). A 3X3 window was used to calculate the slope at each pixel. Darker areas represent steeper slopes.For more information, see MassGIS' Lidar Terrain Data page.

Pittsburgh 25% Slope of Greater

The digital maps presented here were originally published as hard copy maps in the Coastal Zone Atlas of Washington between 1978 and 1980. Although the Atlas has been out of print for many years, the maps contain information that remain the basis for local planning decisions. After receiving multiple requests for electronic versions of portions of the Atlas, an effort was made to scan, georeference and digitize aspects of the Atlas, beginning with the slope stability maps. These maps indicate the relative stability of coastal slopes as interpreted by geologists based on aerial photographs, geological mapping, topography, and field observations. Such methods are standard, but may occasionally result in some unstable areas being overlooked and in some stable areas being incorrectly identified as unstable. Further inaccuracies are introduced to the data through the process of converting the published maps into digital format. Important land use or building decisions should always be based on detailed geotechnical investigations. This mapping represents conditions observed in the early and mid-1970s. Shorelines and steep slopes are dynamic areas and many landslides have occurred since that time that are not reflected on these maps. Subsequent human activities may have increased or decreased the stability of some areas.