Comparative Study of Cartosat-DEM and SRTM-DEM on Elevation Data and Terrain Elements

Gajalakshmi K., Anantharama V.

Abstract


The three dimensional space is represented by Digital Elevation Models (DEMs) in a discrete form. DEM plays an important role in characterizing the topography and to derive the watershed boundaries thereby to study the landscape with in the watershed. Over a decade, DEMs from satellite imageries like ASTER, SRTM, IKONOS, Cartosat etc. are becoming popular with wide applications. However, issue of accuracy of DEMs generated from the satellite imageries is the major concern of remote sensing researcher’s. The main purpose of this study is to compare the accuracy of DEM generated from two different satellite sources, 1) Optical based sensory satellite data – Cartosat-DEM. 2) Microwave based sensory satellite data – SRTM-DEM. The study was conducted over Southpennar watershed which has gradually undulating topography. The comparative study was done under two categories; they are through elevation data and terrain derivatives. The study reveals that in gradually undulating terrain, elevation values of Cartosat-DEM are lower than SRTM-DEM. whereas the stream parameter values of Cartosat-DEM are higher than SRTM-DEM. In visual analysis the contours obtained from Cartosat-DEM and SRTM-DEM aligns with each other irrespective of the resolution.


Keywords


Cartosat-DEM; SRTM-DEM; Accuracy; Elevation; Terrain Derivatives

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)