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Hindi Research Article, Geoinfor Geostat An Overview Vol: 2 Issue: 1
Generation and Evaluation of DEM from Cartosat-1 Stereo Data Using Ground Control Points from Topographical Maps
| Navatha Y1*, Venkata Reddy K2, Deva Pratap3, Sharma SB4 | |
| 1Research Scholar, Department of Civil Engineering/NIT Warangal, Warangal,India | |
| 2Assistant Professor, Department of Civil Engineering/NIT Warangal,Warangal, India | |
| 3Professor, Department of Civil Engineering/NIT Warangal, Warangal, India | |
| 4Indian Institute of Surveying and Mapping, IISM, Hyderabad, India. | |
| Corresponding author : Navatha Y Research Scholar, Department of Civil Engineering/ NIT Warangal, Warangal, PO Box 506004, India E-mail: navathayerram2002@gmail.com |
|
| Received: August 13, 2013 Accepted: January 06, 2014 Published: January 16, 2014 | |
| Citation: Navatha Y, Reddy KV, Pratap D, Sharma SB (2014) Generation and Evaluation of DEM from Cartosat-1 Stereo Data Using Groun d Control Points from Topographical Maps. Geoinfor Geostat: An Overview 2:1. doi:10.4172/2327-4581.1000116 |
Abstract
Generation and Evaluation of DEM from Cartosat-1 Stereo Data Using Ground Control Points from Topographical Maps
Digital Elevation Model (DEM) is a basic input to find out the terrain characteristics and terrain parameters. It is also used for planning of infrastructural facilities of an area. There are several ways to generate a DEM and with the advances in spatial technologies, it becomes easy to generate a DEM from the satellite data. In the present paper, DEM has been generated using Cartosat-1 satellite stereo data with Ground Control Points (GCPs) taken from Survey of India (SOI) topographical map and mass points that are digitized after block triangulation. The generated DEM has been evaluated with elevation values of Survey of India (SOI) topographical map of the study area. The generated DEM has also been compared with the ASTER DEM of the study area and it is observed that Cartosat-1 extracted DEM shows better results when mapping at large scales. From the DEM quality map, it is seen that 86% pixels identified as excellent to good category and only 16% are identified as isolated to suspicious category. From the comparison of DEM prepared from block triangulation and contours, it is seen that 26% pixels have the elevation variation of less than 5 m and 30% pixels have the elevation variation of 5 m to 10 m. Elevation variation of less than 5m is seen for 23% pixels and 5 m to 10 m is seen for the 51% pixels between the ASTER DEM and DEM prepared from contours. DEM extracted from Cartosat-1 satellite data can be used for planning and implementation of infrastructural facilities, as it require more accurate and detailed terrain variations.
