@article{29be188630f840f4b4c0b9c99aa50a8a,
title = "Sensitivity and limitation in damage detection for individual buildings using InSAR coherence-A case study in 2016 Kumamoto earthquakes",
abstract = "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).",
keywords = "ALOS-2, Coherence, Damage assessment, Interferometry, PALSAR-2, Synthetic aperture radar (SAR)",
author = "Ryo Natsuaki and Hiroto Nagai and Naoya Tomii and Takeo Tadono",
note = "Funding Information: Acknowledgments: This research is partially supported by the Council for Science, Technology, and Innovation (CSTI), “Cross-ministerial Strategic Innovation Promotion Program” (SIP), “Enhancement of societal resiliency against natural disasters” (Funding agency: JST). We thank Takuma Saeki (NIED) for providing the inventory survey data in Mashikimachi town. We also thank the Working Group for SAR Analysis, the Coordinating Committee for Earthquake Prediction Japan for their early response in the earthquakes. The Geospatial Information Authority under the Ministry of Land, Infrastructure, Transport and Tourism of Japan provided digitized building data and geomorphological maps for flood prevention. Google Inc. provided the three-dimensional view of pre-quake ground object models on Google Earth. Publisher Copyright: {\textcopyright} 2018 by the authors.",
year = "2018",
month = feb,
day = "1",
doi = "10.3390/rs10020245",
language = "English",
volume = "10",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "2",
}