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Evaluation and Comparison of Multi Resolution DEM Derived Through Cartosat-1 Stereo Pair – A Case Study of Damanganga Basin

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Abstract

The study evaluates and compares Digital Elevation Model (DEM) data of various grid spacing derived using high resolution Cartosat 1 stereo data for hydrologic applications. DEM is essential in modeling different environmental processes which depend on surface elevation. The accuracy of derived DEM varies with grid spacing and source. The CartoDEM is the photogrammetric DEM derived from stereo pairs. Damanganga basin lying in the Western Ghats was analysed using 11 Carto stereo pairs. The process of triangulation resulted in RMSE of 0.42. DEM was extracted at 10 m, 20 m, 30 m, 40 m, 50 m and 90 m grid spacing and compared with ASTER GDEM (30 m) and SRTM DEM (90 m). DEM accuracy was checked with Root Mean Square Error (RMSE) statistic for random points generated in different elevation zones. Extracted stream networks were compared based on Correctness Index and Figure of Merit index, calculated for all the Digital Elevation Models at varying cell sizes. In order to further evaluate the DEM’s, a simple flood simulation with no water movement and no consideration of real time precipitation data was carried out and relationship between heights of flood stage and inundation area for each Digital Elevation Model was also established.

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References

  • Coz, M. L., Delclaux, F., Genthon, P., & Favreau, G. (2009). Assessment of Digital Elevation Model (DEM) aggregation methods for hydrological modeling: lake Chad Basin, Africa. Computers & Geosciences, 35(8), 1661–1670.

    Article  Google Scholar 

  • Environmental Systems Research Institute (ESRI) (2003). ArcGIS spatial analyst.

  • Guo-an, T., Yang-he, H. U. I., Strobl, J., & Wang-qing, L. I. U. (2001). The impact of resolution on the accuracy of hydrologic data derived from DEMs. Journal of Geographical Sciences, 4, 393–401.

    Article  Google Scholar 

  • Holm, K. (2000). Digital elevation models and uncertainty: methods for evaluating, describing and correcting errors. http://www.geog.ubc.ca/courses/geog570/talks_2000/dem_uncertainty.html.

  • Hutchinson, M. F., & Dowling, T. I. (1991). A continental hydrological assessment of a new grid-based digital elevation model of Australia. Hydrological Processes, 5, 45–58.

    Article  Google Scholar 

  • Jenson, S. K. (1991). Applications of hydrologic information automatically extracted from digital elevation models. Hydrological Process, 5, 31–44.

    Article  Google Scholar 

  • Krishna, B.G., Amitabh, Srinivasan, T.P., & Srivastava, P.K. (2008). Dem generation from high resolution multi-view data product. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 1099–1102. http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/187.pdf

  • Li, J., & Wong, D.W. (2010). Effects of DEM sources on hydrologic applications. Computers, Environment and Urban Systems, 34(1), 251–261.

    Google Scholar 

  • Muralikrishnan, S., Pillai, A., Narender, B., Reddy, S., Venkataraman, R., & Dadhwal, V. K. (2012). Validation of Indian National DEM from Cartosat-1 Data. Journal of Indian Society of Remote Sensing. doi:10.1007/s12524-012-0212-9.

  • Pontius, R. G., Boersma, W., Castella, J., Clarke, K., de Nijs, T., Dietzel, C., et al. (2008). Comparing the input, output, and validation maps for several models of land change. The Annals of Regional Science, 42, 11–37.

    Article  Google Scholar 

  • Saran, S., Sterk, G., Peters, P., & Dadhwal, V. K. (2010). Evaluation of digital elevation models for delineation of hydrological response units in a Himalayan watershed. Geocarto International, 25(2), 105–122.

    Article  Google Scholar 

  • Schumann, G., Matgen, P., Cutler, M., Black, A., Hoffmann, L., & Pfister, L. (2008). Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. Journal of Photogrammetry & Remote Sensing, 63, 283–296.

    Article  Google Scholar 

  • Tarboton, D. G. (1997). A new method for the determination of flow directions and contributing areas in grid digital elevation models. Water Resources Research, 33(2), 309–319.

    Article  Google Scholar 

  • Tarboton, D.G., & Ames, D.P. (2001). Advances in the mapping of flow networks from digital elevation data. In World water and environmental resources congress, May 20–24, 2001. Orlando, FL; ASCE.

  • Vaze, J., Teng, J., & Spencer, G. (2010). Impact of DEM accuracy and resolution on topographic indices. Environmental Modelling & Software, 25(10), 1086–1098.

    Article  Google Scholar 

  • Walker, J. P., & Willgoose, G. R. (1999). On the effect of digital elevation model accuracy on hydrology and geomorphology. Water Resources Research, 35(7), 2259–2268.

    Article  Google Scholar 

  • Wang, W., Yang, X., & Yao, T. (2012). Evaluation of ASTER GDEM and SRTM and their suitability in hydraulic modelling of a glacial lake outburst flood in southeast Tibet. Hydrological Processes, 26(2), 213–225.

    Article  Google Scholar 

  • Wu, S., Li, J., & Huang, G. H. (2008). A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution. Applied Geography, 28, 210–223.

    Article  Google Scholar 

  • Xiao, L.-L., Liu, H.-B., Zhao, X.-G. (2010). Impact of digital elevation model resolution on stream network parameters. International Conference on Environmental Science and Information Application Technology (ESIAT), 17–18 July, 2010.

  • Zhang, W., & Montgomery, D. R. (1994). Digital elevation model grid size, landscape representation, and hydrologic simulations. Water Resources Research, 30(4), 1019–1028.

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge the encouragement provided by Dr V K Dadhwal, Director, NRSC, Hyderabad, Dr YVN Krishnamurthy, Deputy Director, RC, NRSC, Hyderabad and support provided by Dr. A K Joshi, General Manager RRSC (Central), Nagpur. Sincere thanks are due to Mr. Prashant Kavishwar of CCOST, Raipur for valuable suggestions during DEM generation from Cartosat −1 stereo pairs along with Nikita Gehlot and Shalu Soni of MDSU, Ajmer for support in the analysis.

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Authors and Affiliations

  1. Regional Remote Sensing Centre (Central), NRSC, Nagpur, India

    Rajashree Vinod Bothale

  2. RRSC/NRSC, Amravati Road, Nagpur, 33, India

    Rajashree Vinod Bothale

  3. Department of Natural Resources, TERI University, New Delhi, India

    Bhartendu Pandey

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  1. Rajashree Vinod Bothale
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  2. Bhartendu Pandey
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Correspondence to Rajashree Vinod Bothale.

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Bothale, R.V., Pandey, B. Evaluation and Comparison of Multi Resolution DEM Derived Through Cartosat-1 Stereo Pair – A Case Study of Damanganga Basin. J Indian Soc Remote Sens 41, 497–507 (2013). https://doi.org/10.1007/s12524-012-0243-2

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  • DOI: https://doi.org/10.1007/s12524-012-0243-2

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