News Updates Thursday 26th Dec 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Comparison in terms of accuracy of DEMs extracted from SRTM/X-SAR data and SRTM/C-SAR data: A Case Study of the Thi-Qar Governorate /AL-Shtra City


Author : Imzahim Abdulkareem Alwan and Mohammed H Azeez

Pages : 1826-1830
Download PDF
Abstract

It is important to investigate the accuracy of Digital Elevation Models (DEMs) because of their high impact on all engineering and scientific disciplines Photogrammetry, traditional surveying, remote sensing systems and satellite whole DEMs output methods. In this paper include the DEM data produced by the shuttle radar topography mission (SRTM) data, Where tested and evaluation DEM data for an area of 100 square kilometers in Iraq /Thi-Qar Governorate – Al-Shtra city. The result of root mean square error (RMSE) is 0.902 m for the digital elevation models (DEM) derived from the SRTM/C-SAR data (SRTM-DEM (V4.1)) and (RMSE) is 3.141 m for the digital elevation models (DEM) derived from the SRTM/X-SAR data (DTED (L2)). So clearly, the DEM product from the SRTM/C-SAR data a more accurate representation of the topography of the ground.

Keywords: Remote sensing, Digital Elevation Models (DEMs), SRTM/C-SAR data, SRTM/C-SAR data.

Article published in International Journal of Current Engineering and Technology, Vol.6, No.5 (Oct-2016)

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved