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Evaluation of vertical accuracy of open source Digital Elevation Model (DEM)
Institution:1. National Technical Research Organization (NTRO), Govt. of India, New Delhi, India;2. Department of Natural Resources, TERI University, New Delhi, India;3. Indian Institute of Technology (IIT), Roorkee, India;4. School of Oceanographic Studies, Jadavpur University, Kolkata, India;1. Instituto de Geociência, Universidade de Brasília, Brasília, Brazil;2. Instituto de Hidráulica e Hidrología, Universidad Mayor San Andrés, La Paz, Bolivia;3. Géosicence Environnement Toulouse (Institut de Recherche pour le Développement/Centre National de la Recherche Scientifique, Université Paul-Sabatier), Toulouse, France;4. Recursos Hídricos e Altimetria Espacial da Amazônia, Universidade do Estado Amazonas, Manaus, Brazil;5. Laboratoire Mixte International, Observatoire des Changements Environnementaux en Amazonie, Brazil;6. ESPACE-DEV (Institut de Recherche pour le Développement), Montpellier, France;1. Department of Physical Geography and Geoinformatics, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary;2. K. Banerjee Centre of Atmospheric & Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Allahabad 211002, Uttar Pradesh, India;1. Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India;2. Department of Natural Resources, TERI University, New Delhi 110 070, India;3. School of Oceanographic Studies, Jadavpur University, Kolkata, India;4. Division of Land & Water Management, Research Complex for Eastern Region (RCER), Indian Council of Agricultural Research (ICAR), Patna, India;1. Geoscience and Digital Earth Centre, Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia;2. Department of Geography, Indiana University, 701. E. Kirkwood Ave., Bloomington, IN 47405, USA;3. Department of Environmental Science, Policy and Geography Davis 209, University of South Florida St. Petersburg 140 Seventh Ave South, St. Petersburg, Fl 33701, USA;4. Centre for Environmental Sustainability and Water Security, Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia;5. IRD-LOCEAN, Université Pierre et Marie Curie, boîte 100, 4, Place Jussieu, 75252 Paris Cedex 05, France;1. Civil Engineering Department, BRCM College of Engineering and Technology, Bahal 127028, Bhiwani, Haryana, India;2. Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721302, West Bengal, India
Abstract:Digital Elevation Model (DEM) is a quantitative representation of terrain and is important for Earth science and hydrological applications. DEM can be generated using photogrammetry, interferometry, ground and laser surveying and other techniques. Some of the DEMs such as ASTER, SRTM, and GTOPO 30 are freely available open source products. Each DEM contains intrinsic errors due to primary data acquisition technology and processing methodology in relation with a particular terrain and land cover type. The accuracy of these datasets is often unknown and is non-uniform within each dataset. In this study we evaluate open source DEMs (ASTER and SRTM) and their derived attributes using high postings Cartosat DEM and Survey of India (SOI) height information. It was found that representation of terrain characteristics is affected in the coarse postings DEM. The overall vertical accuracy shows RMS error of 12.62 m and 17.76 m for ASTER and SRTM DEM respectively, when compared with Cartosat DEM. The slope and drainage network delineation are also violated. The terrain morphology strongly influences the DEM accuracy. These results can be highly useful for researchers using such products in various modeling exercises.
Keywords:DEM accuracy  Cartosat  SRTM  ASTER  Terrain morphology
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