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- W2333076388 abstract "Depth is an essential characteristic of flood inundation in hydro-ecological research. Several studies have tried to estimate inundation depth from remotely sensed image and digital elevation model (DEM) data by applying a series of cross section profiles along the centerline of a river reach. This method requires a large amount of manual work in order to identify the centerlines and cross sections, which makes them both unsuitable for automation and inefficient for mapping. This study presents a methodology of rapidly generating flood inundation depth maps automatically using a combination of remotely sensed inundation extent and a high resolution DEM. The proposed approach is tested in a study area located in the Murray-Darling Basin in Australia, and has been proved to be feasible and reliable." @default.
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- W2333076388 date "2014-08-01" @default.
- W2333076388 modified "2023-09-22" @default.
- W2333076388 title "Integration of remotely sensed inundation extent and high-precision topographic data for mapping inundation depth" @default.
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- W2333076388 doi "https://doi.org/10.1109/agro-geoinformatics.2014.6910580" @default.
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