Improving river bathymetry and topography of a low-lying flat river basin by integrating multiple sources datasets
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- Bhagabati Seemanta Sharma
- Department of Civil Engineering, The University of Tokyo
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- Kawasaki Akiyuki
- Department of Civil Engineering, The University of Tokyo
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- Takeuchi Wataru
- Industrial Institute of Science, The University of Tokyo
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- Zin Win Win
- Yangon Technological University
書誌事項
- タイトル別名
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- Improving River Bathymetry and Topography Representation of a Low-Lying Flat River Basin by Integrating Multiple Sourced Datasets
- Win, Improving river bathymetry and topography of a low-lying flat river watershed by integrating different data from multiple sources
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説明
<p>Topography represented in the form of Digital Elevation Models (DEMs) has profound applications in hydrological modeling. DEMs can be generated from several sources including satellite products, contours, survey data, and LiDAR, each with their own merits and demerits. Where high resolution, accuracy, and spatial extent are concerned, it is often found that a DEM from one source alone is not able to represent the topography of the target area with full accuracy. Upon comparing different DEMs, it was found that most were able to successfully represent mountainous regions but failed to represent flat deltaic regions. Therefore, in this research with Bago River basin, Myanmar as a study area, a new methodology to combine multiple sources of data with different data types is developed. The inputs are: (a) a 10 m DEM, developed using contour data, point elevation data, and UTM topographic maps; (b) a 5 m Digital Surface Model (DSM) acquired by the Advanced Land Observation Satellite (ALOS); and (c) 168 sets of multiple-point elevation data representing a cross-sectional survey along the Bago River and the Bago-Sittaung canal. The output is a 10 m resolution Enhanced DEM (EnDEM) which is able to preserve the merits of all the input data, i.e., upper mountainous region, lower flat deltaic basin, and the river bathymetry. This paper provides a novel approach to DEM integration and burning of the river cross-section onto the DEM.</p>
収録刊行物
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- Journal of Disaster Research
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Journal of Disaster Research 15 (3), 335-343, 2020-03-30
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