Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand
Publication type: Journal Article
Publication date: 2017-07-01
scimago Q1
wos Q1
SJR: 2.523
CiteScore: 16.6
Impact factor: 8.3
ISSN: 01989715, 18737587
General Environmental Science
Geography, Planning and Development
Urban Studies
Ecological Modeling
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 facades, 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.
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Metrics
12
Total citations:
12
Citations from 2024:
2
(16.66%)
The most citing journal
Citations in journal:
2
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GOST
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Meesuk V. et al. Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand // Computers, Environment and Urban Systems. 2017. Vol. 64. pp. 239-253.
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Meesuk V., Vojinovic Z., Mynett A. E. Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand // Computers, Environment and Urban Systems. 2017. Vol. 64. pp. 239-253.
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RIS
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TY - JOUR
DO - 10.1016/j.compenvurbsys.2017.03.004
UR - https://doi.org/10.1016/j.compenvurbsys.2017.03.004
TI - Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand
T2 - Computers, Environment and Urban Systems
AU - Meesuk, Vorawit
AU - Vojinovic, Zoran
AU - Mynett, Arthur E.
PY - 2017
DA - 2017/07/01
PB - Elsevier
SP - 239-253
VL - 64
SN - 0198-9715
SN - 1873-7587
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2017_Meesuk,
author = {Vorawit Meesuk and Zoran Vojinovic and Arthur E. Mynett},
title = {Extracting inundation patterns from flood watermarks with remote sensing SfM technique to enhance urban flood simulation: The case of Ayutthaya, Thailand},
journal = {Computers, Environment and Urban Systems},
year = {2017},
volume = {64},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016/j.compenvurbsys.2017.03.004},
pages = {239--253},
doi = {10.1016/j.compenvurbsys.2017.03.004}
}