Kenya Shaded Relief Surface (90m resolution)
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Kenya Shaded Relief 90m Rasteradf
Processing Information: Program Name: SRTM2DSM.AML Purpose: Create a polygonal footprint for each 1x1 degree tile of SRTM data processed. The attributes of each tile, such as, resolution and date processed, are linked to this polygonal footprint. Procedure: Generate footprint Build topology Add and populate attributes Define projection as geographic with WGS84 datum Convert to shapefile Environment: Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 2; ESRI ArcInfo Workstation 8.2
The cell values represent illumination value from 0 - 255. Shaded relief surfaces are mainly used as background in mapping and displaying data. [RETURN] This spatial data set is a derivative product of the Shuttle Radar Topography Mission(SRTM) digital elevation model(DEM) data set. The SRTM DEM has gaps or voided data values through its coverage area. These gaps are a result of a number of causes such as shadowing, phase unwrapping anomalies, or other radar-specific causes[Ref: NASA]. These gaps were filled with existing lower resolution DEM data sets using a SRTM/DEM merge process developed by the United States National Geo-spatial-Intelligence Agency (NGA).
Although these data have been processed successfully on a computer system at the U.S. Geological Survey, EROS Data Center, no warranty expressed or implied is made by either regarding the utility of the data on any system, nor shall the act of distribution constitute any such warranty. The USGS will warrant the delivery of this product in computer-readable format and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer peripherals, or when the physical medium is delivered in damaged condition. Requests for adjustments of credit must be made within 90 days from the date of this shipment from the ordering site.
NASA, NIMA, DLR, and ASI, 2000, SRTM Data Collection.
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License: Creative Commons Attribution 4.0 International License. Full license text available at Creative Commons Attribution 4.0
Project: Ecosystem Service Mapping
Page Last Updated: August 19, 2016
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