Sensitivity and limitation in damage detection for individual buildings using InSAR coherence-A case study in 2016 Kumamoto earthquakes

Ryo Natsuaki, Hiroto Nagai, Naoya Tomii, Takeo Tadono

Research output: Contribution to journalArticle

2 Citations (Scopus)

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).

Original languageEnglish
Article number245
JournalRemote Sensing
Volume10
Issue number2
DOIs
Publication statusPublished - 2018 Feb 1
Externally publishedYes

Fingerprint

earthquake
damage
synthetic aperture radar
urban area
PALSAR
ALOS
spatial resolution
detection
analysis
evaluation
damage assessment

Keywords

  • ALOS-2
  • Coherence
  • Damage assessment
  • Interferometry
  • PALSAR-2
  • Synthetic aperture radar (SAR)

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Sensitivity and limitation in damage detection for individual buildings using InSAR coherence-A case study in 2016 Kumamoto earthquakes. / Natsuaki, Ryo; Nagai, Hiroto; Tomii, Naoya; Tadono, Takeo.

In: Remote Sensing, Vol. 10, No. 2, 245, 01.02.2018.

Research output: Contribution to journalArticle

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