Integration of remotely sensed inundation extent and high-precision topographic data for mapping inundation depth

Chang Huang, Yun Chen, Jianping Wu, Zuoqi Chen, Linyi Li, Rui Liu, Jia Yu

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

14 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781479941575
DOIs
Publication statusPublished - 25 Sept 2014
Externally publishedYes
Event2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 - Beijing, China
Duration: 11 Aug 201414 Aug 2014

Publication series

Name2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014

Conference

Conference2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Country/TerritoryChina
CityBeijing
Period11/08/1414/08/14

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