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M. Crespi, F. Barbato, L. D. Vendictis, R. Onori, D. Polic, F. Volpe and X. Wang, “Orientation, Ortho-Rectification, DSM Extraction and 3D City Modeling by Cartosat-1 Stereo Imagery: First Results of a Test over Rome,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Goa, Vol. 36, 2006, pp. 1020-1025.

has been cited by the following article:

• TITLE: Orthorectification and Digital Elevation Model (DEM) Generation Using Cartosat-1 Satellite Stereo Pair in Himalayan Terrain

  AUTHORS: Vivek Kumar Singh, Prashant Kumar Champati Ray, Ayyeum Perumal Thillai Jeyaseelan

  KEYWORDS: DEM, Cartosat, Stereo Pair, Orthorectification, Himalaya

  JOURNAL NAME: Journal of Geographic Information System, Vol.2 No.2, May 14, 2010

  ABSTRACT: High resolution data have high relief displacement in hilly terrains. Development of Digital Elevation model helps to assess bio resources more accurately in such terrains. While estimating bio resources in the Himalayan hilly terrain using multispectral LISS-III data of 23 m spatial resolution, the need for orthorectifcation of satellite data was necessary to correct for spatial distances due to high undulating slopes. Therefore, Cartosat stereo pair based Digital Elevation Model (DEM) was generated using the Rational Polynomial Coefficients (RPC) supplied along with the data products. By using the DEM orthorectification of LISS-III was created. In order to evaluate the positional accuracy of ortho rectified LISS-III Ground control points were selected using the Global Positioning System in differential GPS mode. As there is variation in the spatial distances and height over few points, the GCP corrected DEM was used for ortho rectifcation of Cartosat PAN and LISS-III data. This paper presents the procedure followed for ortho rectification and digital elevation model generation using Cartosat stereo pair data. The result of the study indicated high spatial resolution stereo images helped generation of three dimensional mountainous regions more accurately which helps in estimating the bio resources using multispectral LISS III data.