TY - JOUR
T1 - An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves
AU - Moya, Luis
AU - Mas, Erick
AU - Adriano, Bruno
AU - Koshimura, Shunichi
AU - Yamazaki, Fumio
AU - Liu, Wen
N1 - Publisher Copyright:
© 2018 The Author(s)
PY - 2018/10
Y1 - 2018/10
N2 - Remote sensing satellite imagery plays an important role in estimating collapsed buildings in the aftermath of a large-scale disaster. However, some previous methodologies are restricted to using specific radar sensors. Others methods, such as machine learning algorithms, require training data, which are extremely difficult to obtain immediately after a disaster. This paper proposes a novel method to extract collapsed buildings based on the integration of satellite imagery, the spatial distribution of a demand parameter, fragility functions, and a geospatial building inventory. The proposed method is applicable regardless of the type of radar sensor and does not require any training data. The method was applied to extract buildings that collapsed during the 2011 Great East Japan Tsunami. The results showed that the proposed method is effective and consistent with the surveyed building damage data.
AB - Remote sensing satellite imagery plays an important role in estimating collapsed buildings in the aftermath of a large-scale disaster. However, some previous methodologies are restricted to using specific radar sensors. Others methods, such as machine learning algorithms, require training data, which are extremely difficult to obtain immediately after a disaster. This paper proposes a novel method to extract collapsed buildings based on the integration of satellite imagery, the spatial distribution of a demand parameter, fragility functions, and a geospatial building inventory. The proposed method is applicable regardless of the type of radar sensor and does not require any training data. The method was applied to extract buildings that collapsed during the 2011 Great East Japan Tsunami. The results showed that the proposed method is effective and consistent with the surveyed building damage data.
KW - Collapsed buildings
KW - SAR images
KW - The 2011 Great East Japan Tsunami
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U2 - 10.1016/j.ijdrr.2018.03.034
DO - 10.1016/j.ijdrr.2018.03.034
M3 - Article
AN - SCOPUS:85042527155
VL - 31
SP - 1374
EP - 1384
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
SN - 2212-4209
ER -