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*Corresponding author Email id: ppjena.swce@ouat.ac.in
Digital elevation models (DEM) are crucial for conducting topographical studies in land and water resources management, particularly in flood management. The delta section of a basin is consistently susceptible to flooding due to its low gradient, which poses challenges in analyzing the topographical data. This study attempts to develop a relatively accurate DEM from Cartosat-1 stereo image pairs for delta region of Mahanadi basin. Photogrammetry technique is meticulously performed with minimum RMSE of 2 to 3 pixels. A 10m×10m generated DEM was resampled to 30m×30m DEM for comparison with SRTM DEM. DEM quality was assessed with reference to surveyed cross-section, river embankment profile and ground control points using statistical parameter and accuracy measures such as root mean square error (RMSE) and mean average error (MAE). For river cross-sections, MAE and RMSE of Cartosat-1 DEM, i.e., 2.70 m and 3.38 m, respectively are found to be lower than that of SRTM DEM, i.e., 4.26 m and 5.32 m, respectively. Statistical and graphical comparison infers that the generated Cartosat-1 DEM is better in representing river bed than that of the SRTM DEM; however, both the DEMs have similar representation for the floodplain elevation.
Digital elevation model, Lieca photogrametry suite, SRTM, Cartosat-1