DocumentCode :
143309
Title :
Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data
Author :
Adriano, Bruno ; Gokon, Hideomi ; Mas, Erick ; Koshimura, Shunichi ; Wen Liu ; Matsuoka, Masashi
Author_Institution :
Grad. Sch. of Eng., Tohoku Univ., Sendai, Japan
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2154
Lastpage :
2157
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 method indices 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.
Keywords :
feature extraction; floods; geophysical image processing; image resolution; storms; AD 2013 11; ASTER VNIR images; NDVI; NDWI; Philippines; Super Typhoon Haiyan; Tacloban city; Visayas; damage levels; damaged area extraction; field surveys; flooded area; high resolution satellite images; normalize difference vegetation index characteristics; normalize difference water index characteristics; phase-based analysis; phase-based change detection; post-event images; preevent images; visual damage inspection; Cities and towns; Educational institutions; Indexes; Satellite broadcasting; Satellites; Tropical cyclones; Vegetation mapping; ASTER sensor data; Phase-based change detection; normalized difference water index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946893
Filename :
6946893
Link To Document :
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