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A platform for research: civil engineering, architecture and urbanism
Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand
AbstractFlood 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.
HighlightsConventional LiDAR data provide decent data, but missing some key urban features.Side-view SfM surveys can reveal key features, which hidden underneath structures.Hidden features play a significant role in flood propagation for complex cities.Using of side-view SfM data is invaluable for extracting flood watermarks.Merging side and top-view topographic data can enhance flood simulation results.
Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand
AbstractFlood 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.
HighlightsConventional LiDAR data provide decent data, but missing some key urban features.Side-view SfM surveys can reveal key features, which hidden underneath structures.Hidden features play a significant role in flood propagation for complex cities.Using of side-view SfM data is invaluable for extracting flood watermarks.Merging side and top-view topographic data can enhance flood simulation results.
Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand
Meesuk, Vorawit (author) / Vojinovic, Zoran (author) / Mynett, Arthur E. (author)
Computers, Environments and Urban Systems ; 64 ; 239-253
2017-03-09
15 pages
Article (Journal)
Electronic Resource
English
Development of 3di Flood Model for Ayutthaya City Island
| HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2016