Author:
Bai Yanbing,Adriano Bruno,Mas Erick,Koshimura Shunichi, ,
Abstract
Synthetic Aperture Radar (SAR) remote sensing is a useful tool for mapping earthquake-induced building damage. A series of operational methodologies based on SAR data using either multi-temporal or only post-event SAR images have been developed and used to serve disaster activities. This presents a critical problem: which method is more likely to obtain reliable results and should be adopted for disaster response when both pre- and post-event SAR data are available? To explore this question, this study takes the 2016 Kumamoto earthquake as a case study. ALOS-2/PALSAR-2 SAR images were employed with a machine learning framework to quantitatively compare the performance of building damage mapping using only post-event SAR images and mapping using multi-temporal SAR images. The results show that an overall accuracy of 64.5% was achieved when only post-event SAR images were used, which is 2.3% higher than the overall accuracy when multi-temporal SAR images were used. The estimated building damage ratio for the former and the latter are 29.7% and 31.1%, respectively, which are both close to the building damage ratio obtained from an optical image.
Publisher
Fuji Technology Press Ltd.
Subject
Engineering (miscellaneous),Safety, Risk, Reliability and Quality
Reference38 articles.
1. S.-H. Yun, K. Hudnut, S. Owen, F. Webb, M. Simons, P. Sacco, E. Gurrola, G. Manipon, C. Liang, E. Fielding, P. Milillo, H. Hua, and A. Coletta, “Rapid Damage Mapping for the 2015 M w 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO-SkyMed and ALOS-2 Satellites,” Seismological Research Letters, Vol.86, No.6, pp. 1549-1556, 2015.
2. A. O. F. Geophysics, F. Track, and I. Nazionale, “A multisensor approach for the 2016 Amatrice earthquake damage assessment,” No.1981, pp. 1-6, 2016.
3. L. Ge, A. H.-M. Ng, X. Li, Y. Liu, Z. Du, and Q. Liu, “Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal,” Annals of GIS, Vol.21, No.3, pp. 175-190, 2015.
4. T. Balz and M. S. Liao, “Building-damage detection using postseismic high-resolution SAR satellite data,” Int. J. of Remote Sensing, Vol.31, No.13, pp. 3369-3391, 2010.
5. M. Matsuoka and F. Yamazaki, “Characteristics of satellite SAR images in the areas damaged by earthquakes,” Int. Geoscience and Remote Sensing Symposium (IGARSS), Vol.6, pp. 2693-2696, 2000.
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献