Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions
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| Publicat a: | Water Resources Management vol. 30, no. 3 (Feb 2016), p. 1293 |
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| Autor principal: | |
| Altres autors: | , |
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Springer Nature B.V.
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| 024 | 7 | |a 10.1007/s11269-016-1226-9 |2 doi | |
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| 100 | 1 | |a Jena, Prachi Pratyasha | |
| 245 | 1 | |a Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions | |
| 260 | |b Springer Nature B.V. |c Feb 2016 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a Digital Elevation Model (DEM) plays an important role in modeling floods. In data scarce developing countries, unavailability of high resolution topography and river cross-sections data are the prime limitations for simulating hydrodynamic models for modeling floods. In the present study, we assess the quality of Cartosat-1 DEMs in providing accurate river cross-sections and floodplain elevations; and hence their suitability in modeling floods. Cartosat-1 DEMs are prepared using Ground Control Points (GCP) of surveyed elevation and bias corrected Shuttle Radar Topography Mission (SRTM) elevation. Surveyed elevation based Cartosat-1 DEM is found to be of best quality while bias corrected SRTM elevation based Cartosat-1 DEM is found to be of reasonable quality on the basis of cross-section representation as well as elevation statistics. Cross-sections derived from the Cartosat-1 DEMs as well as surveyed cross-sections are later used independently in MIKE11 model for 1-dimensional flow modeling. Simulated water levels from models based on Cartosat-1 DEMs are compared graphically with the observed water levels. Modeling performance is also evaluated using different statistical performance criteria. Results show that the models based on Cartosat-1 DEM derived cross-sections perform similar to the model based on surveyed cross-sections. Study concludes that a reasonably accurate DEM, prepared from moderate survey in data scarce region, can be used for deriving requisite river cross-sections for hydrodynamic modeling. | |
| 653 | |a Studies | ||
| 653 | |a Water resources management | ||
| 653 | |a Flood control | ||
| 653 | |a Developing countries--LDCs | ||
| 653 | |a Computer based modeling | ||
| 653 | |a Global positioning systems--GPS | ||
| 653 | |a Hydrology | ||
| 653 | |a Rivers | ||
| 653 | |a Floods | ||
| 653 | |a Topography | ||
| 653 | |a Geometry | ||
| 653 | |a Bias | ||
| 653 | |a Water levels | ||
| 653 | |a Floodplains | ||
| 653 | |a Cross-sections | ||
| 653 | |a Elevation | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Panigrahi, Banamali | |
| 700 | 1 | |a Chatterjee, Chandranath | |
| 773 | 0 | |t Water Resources Management |g vol. 30, no. 3 (Feb 2016), p. 1293 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1761628799/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1761628799/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1761628799/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |