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Open AccessArticle

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

1
Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
2
Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, Japan
3
Satellite Applications and Operations Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 245; https://doi.org/10.3390/rs10020245
Received: 4 December 2017 / Revised: 15 January 2018 / Accepted: 4 February 2018 / Published: 6 February 2018
In this paper, evaluation results are presented for multi-temporal interferometric coherence analysis using a Synthetic Aperture Radar (SAR) for damage assessment in an urban area. The latest space-borne SARs potentially have a high enough spatial resolution to assess individual buildings. However, interferometric coherence analysis has not been evaluated for its limitation in sensitivity and size of damaged buildings. In particular, the correlation between the coherence analysis and the damage level referred to by architectural assessments has been an open question. In this paper, analytical results using ALOS-2 PALSAR-2 datasets are presented from the 2016 Kumamoto earthquakes in Japan. For reference, building damage was assessed throughout the central urban area and specifically at a catastrophically damaged district. The results show that the buildings should be larger than a window size of the coherence for damage detection, and the damage level should be larger than Level-2 of 5, classified with the European Macroseismic Scale 1998 (EMS-98). View Full-Text
Keywords: synthetic aperture radar (SAR); ALOS-2; PALSAR-2; damage assessment; interferometry; coherence synthetic aperture radar (SAR); ALOS-2; PALSAR-2; damage assessment; interferometry; coherence
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MDPI and ACS Style

Natsuaki, R.; Nagai, H.; Tomii, N.; Tadono, T. Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes. Remote Sens. 2018, 10, 245.

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