Digital Elevation Model of the Altai Mountains and SAT / Landsat / World Imagery ESRI

The presented image is a visualization of a digital elevation model (DEM) of the Altai Mountains and vicinity (Big Altai Mountains, Altai Mts). This is the result of the interpretation of the land surface radar mapping data (Shuttle Radar Topography Mission, SRTM Version 4, 2008) and its subsequent processing using the ArcGIS Desktop v10.3.0. Esri Inc., application tools and also using a graphical editor.


	Cartographic image: SAT - World Imagery, ESRI
PMM: ArcGIS Desktop v10.3.0. Esri Inc., graphical editor.
Thematic layers: base layers - World Imagery / World Hillshade (Dark) ESRI, map design elements.
	
	Comment:
1. The Sutai Khairkhan Uul (4,220 / 4,090 m) refers to the peaks above 4000 meters. This is the last, most southeastern glacial complex of the Mongolian Altai. In total, there are 15 glaciers in it, with a total area of 12,57 sq. km. The length of the glaciers of the Sutai Khairkhan Uul is on average 1,196 m, the volume of the complex glaciers is 0,6 cubic km, the ice thickness is 41,1 m. The zone of maximum glaciation area is within 3,900-4,150 m. The relative height of the Sutai-Khairkhan Uul summit is 1,787 meters.
2. World Imagery (ESRI Inc.) provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales and 2,5m SPOT Imagery for the world.  In other parts of the world, 1 meter resolution imagery is available from GeoEye IKONOS, AeroGRID, and IGN Spain. Additionally, imagery at different resolutions has been contributed by the GIS User Community. When preparing the design of a series of unified images, a scale scale and a circular scale with divisions in degrees were used (MapTools Inc.).
3. Compiled from a variety of sources, including contributions from the GIS User Community, the World Hillshade (Dark) map provides a multi-directional terrain hillshade rendering of 24-meter elevation data globally and 10-meter or better in many parts of the world. Inspired by the legendary Swiss artist, Eduard Imhof, multi-directional hillshade maps present unparalleled views of the world’s mountains, plateaus, valleys and canyons by using an algorithm that computes light source from six different directions (as opposed to one direction in a default hillshade). The result is a stunning visualization in both high slope and expressionless areas. This Dark version of our World Hillshade is especially useful in building maps that provide terrain context while highlighting feature layers and labels.
4. Multispectral images that include data outside the human-visible spectrum provide more complete information about the Earth's surface.
5. Design versions when using methods of analytical shadow relief shading, in combination with different types of hypsometric scales. GIS application tools provide researchers with ample opportunities for their interpretation, visualization, creating a more realistic image of the landscape and maps. 
	
	Source:
Ganyushkin D.A. Glaciogenic complexes of the sharply continental region of the north-west of Inner Asia / dissertation ... Doctor of Geography: 25.00.23 - Physical geography and biogeography, soil geography and landscape geochemistry / Ganyushkin Dmitry Anatolyevich / - St. Petersburg, 2016 . - 430 p.

	
	Data source:
ArcGIS Online Viewer, Esri Inc. https://www.arcgis.com/home/webmap/viewer.html 
ArcGIS Living Atlas of the World, Esri Inc. https://livingatlas.arcgis.com/en/ 
Consortium for Spatial Information of the Consultative Group for International Agricultural Research (CGIAR-CSI). http://srtm.csi.cgiar.org
U.S. Geological Survey, Earth Resources Observation & Science Center (EROS). https://landsatlook.usgs.gov/viewer.html
 

Spheroid: WGS, 1984
Geographic Coordinate System (GCS Datum): World Geodetic System, WGS 1984 (EPSG: 4326)
Projection: World Equidistant Conic
Prime Meridian: Greenwich
Central Meridian: 90,0
Scale 1:55,000-1:2,000

Cartographer & Designer: Abdulmyanov S.N.
		
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