首页 | 本学科首页   官方微博 | 高级检索  
     


Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya,Thailand
Affiliation:1. UNESCO-IHE Institute for Water Education, Westvest 7, 2611AX Delft, The Netherlands;2. Hydro and Agro Informatics Institute, eight floors, Bangkok Thai Tower 108, Rangnam Rd., Phayathai, Ratchathewi, Bangkok 10400, Thailand;3. University of Exeter, Exeter EX4 4QF, UK;4. Delft University of Technology, Faculty of Civil Engineering and Geosciences, Stevinweg 1, 2628, CN, Delft, The Netherlands;1. Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA;2. Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA;1. British Geological Survey (BGS), Natural Environment Research Council (NERC), Nicker Hill, NG12 5GG Keyworth, United Kingdom;2. Italian Space Agency (ASI), Via Del Politecnico s.n.c., 00133 Rome, Italy
Abstract:Flood watermarks stipulate peak water depths from a flood event, indicating a magnitude of inundation that took place. Such information is invaluable for instantiation and validation of urban flood models. However, collecting and processing such data from land surveys can be costly and time-consuming. New remote sensing and data processing technologies offer improved opportunities to address these issues. The present paper deals with the new structure from motion (SfM) technology and its application in extracting flood watermarks. For this purpose, the first of its kind, side-view SfM surveys with two mobile units were utilised. Survey works were carried out in the vicinity of Ayutthaya heritage area (Thailand) and data obtained were used for setting up numerical models and simulations of the 2011 flood event. The work undertaken demonstrates the significant capability of SfM technology for extraction of flood watermarks. With such technology, it was possible to indicate façades, low-level structures, and susceptible openings, which in turn have improved schematizations of two-dimensional (2D) flood models. The resulting model simulations were found to be more accurate (i.e., more close to the measurements of flood watermarks) than those obtained from models with conventional top-view light detection and ranging (LiDAR) data.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号