TY  - JOUR
PY  - 2018//
TI  - An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves
JO  - International journal of disaster risk reduction
A1  - Moya, Luis
A1  - Mas, Erick
A1  - Adriano, Bruno
A1  - Koshimura, Shunichi
A1  - Yamazaki, Fumio
A1  - Liu, Wen
SP  - 1374
EP  - 1384
VL  - 31
IS  - 
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.<p />  <p>Language: en</p>
LA  - en
SN  - 2212-4209
UR  - http://dx.doi.org/10.1016/j.ijdrr.2018.03.034
ID  - ref1
ER  -