Service Name: Terrain
Description: This dynamic image 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.
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 hillshade, elevation tinted hillshade, and slope, consider using the appropriate server-side function defined on this service.
Server Functions: This layer has server functions defined for the following elevation derivatives:
- Slope Degrees
- Slope Percentage
- Aspect
- Ellipsoidal Height
- Hillshade
- Presymbolized Elevation Tinted Hillshade
- Presymbolized Slope Degrees
- Presymbolized Aspect
Data Sources: The data for this layer comes from the multiple sources listed below, with original source data in its native coordinate system. Depending on the scale being viewed, data from one of these datasets will be returned.
| Source Data | Source Native Pixel Size | Approximate Pixel Size (m) | Primary Sources |
|---|---|---|---|
Grand Geneva 50cm | 0.5 meters | 0.5 | |
Canton of Basel-Landschaft 25cm | 0.25 meters | 0.25 | |
Canton of Solothurn 50cm | 0.5 meters | 0.5 | |
Canton of Aargau 50cm | 0.5 meters | 0.5 | |
Canton of Zurich 50cm | 0.5 meters | 0.5 | |
Estonia 1m | 1 meter | 1 | |
Estonia 5m | 5 meters | 5 | |
Estonia 10m | 10 meters | 10 | |
England 2m | 2 meters | 2 | |
Wales 2m | 2 meters | 2 | |
Scotland 1m | 1 meter | 1 | |
Netherlands 3m | 3 meters | 3 | |
Nordrhein-Westfalen 1m | 1 meter | 1 | |
Vienna City 1m | 1 meter | 1 | |
Upper Austria 50cm | 0.5 meters | 0.5 | |
Salzburg 5m | 5 meters | 5 | |
Vorarlberg 5m | 5 meters | 5 | |
Tyrol 5m | 5 meters | 5 | |
Carinthia 5m | 5 meters | 5 | |
Austria 10m | 10 meters | 10 | |
Denmark 3m | 3.2 meters | 3 | |
Denmark 10m | 10 meters | 10 | |
Finland 3m | 3 meters | 3 | |
Finland 10m | 10 meters | 10 | |
Japan DEM5A, DEM5B | 0.000055555555 degrees | 5 | |
Japan DEM10B | 0.00011111111 degrees | 10 | |
Madrid City 1m | 1 meter | 1 | |
Spain 5m | 5 meters | 5 | |
Spain 10m | 10 meters | 10 | |
Norway 10m | 10 meters | 10 | |
OS Terrain 50 | 50 meters | 50 | |
FEMA LiDAR DTM | 3 meters | 3 | |
NRCS 1m | 1 meter | 1 | |
3DEP 1m | 1 meter | 1 | |
NED 1/9 arc second | 0.000030864197530866 degrees | 3 | |
NED 1/3 arc second | 0.000092592592593 degrees | 10 | |
NED 1 arc second | 0.0002777777777779 degrees | 31 | |
NED 2 arc second | 0.000555555555556 degrees | 62 | |
SRTM 1 arc second | 0.0002777777777779 degrees | 31 | |
SRTM 1 arc second DEM-S | 0.0002777777777779 degrees | 31 | |
SRTM v4.1 | 0.00083333333333333 degrees | 93 | |
EarthEnv-DEM90 | 0.00083333333333333 degrees | 93 | |
GMTED2010 7.5 arc second | 0.00208333333333333 degrees | 232 | |
GMTED2010 15 arc second | 0.00416666666666666 degrees | 464 | |
GMTED2010 30 arc second | 0.0083333333333333 degrees | 928 |
For more information, see Use the World Elevation services.
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. Refer to the metadata available in the services, and follow the links to the original sources for further details. Estimates of CE90 and LE90 are included as attributes.
Attribution: Sources: USGS, NGA, NASA, CGIAR, NLS, OS, NMA, Geodatastyrelsen, GSA, GSI and the GIS User Community
Coverage
The following coverage map illustrates the coverage:
