Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data

Bruno Adriano, Hideomi Gokon, Erick Mas, Shunichi Koshimura, Wen Liu, Masashi Matsuoka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this study, the extent of the flooded areas by the Super Typhoon Haiyan in the Philippines were extracted using ASTER VNIR images taken over Tacloban city in the Visayas. In order to constraint the affected area, we employed the normalize difference vegetation and water indices (NDVI and NDWI) from the pre- and post-event images. The extension of the flooded area was determined by comparing the index characteristics before and after the event. A phase-based change detection methoindicesd was applied to classify the affected area into three classes according to the changes between the pre- and post-images. Through NDWI the flooded areas were detected despite the moderate resolution of ASTER images. In addition, the phase-based analysis successfully detected level of change within the affected area that may be correlated to the damage observed on field surveys. The results from the phase-based analysis were verified with damage levels obtained through visual damage inspection using high resolution satellite images.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2154-2157
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - 2014 Nov 4
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 2014 Jul 132014 Jul 18

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

OtherJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryCanada
CityQuebec City
Period14/7/1314/7/18

Keywords

  • ASTER sensor data
  • Phase-based change detection
  • normalized difference water index

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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