Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh

Hoque, Muhammad Al-Amin, Phinn, Stuart, Roelfsema, Chris and Childs, Iraphne (2016) Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh. International Journal of Remote Sensing, 37 22: 5320-5343. doi:10.1080/01431161.2016.1239286


Author Hoque, Muhammad Al-Amin
Phinn, Stuart
Roelfsema, Chris
Childs, Iraphne
Title Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh
Journal name International Journal of Remote Sensing   Check publisher's open access policy
ISSN 0143-1161
1366-5901
Publication date 2016-10-01
Year available 2016
Sub-type Article (original research)
DOI 10.1080/01431161.2016.1239286
Open Access Status Not yet assessed
Volume 37
Issue 22
Start page 5320
End page 5343
Total pages 24
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor & Francis
Language eng
Subject 1900 Earth and Planetary Sciences
Abstract The environmental and societal impacts of tropical cyclones could be reduced using a range of management initiatives. Remote sensing can be a cost effective, accurate, and potential tool for mapping the multiple impacts caused by tropical cyclones using high-to-moderate spatial resolution (5–30 m) satellite imagery to provide data on the following essential parameters – evacuation, relief, and management of natural resources. This study developed and evaluated an approach for assessing the impacts of tropical cyclones through object-based image analysis and moderate spatial resolution imagery. Pre- and post-cyclone maps of artificial and natural features are required for assessing the overall impacts in the landscape that could be acquired by mapping specific land cover types. We used the object-based approach to map land-cover types in pre- and post-cyclone Satellite Pour l’Observation de la Terre (SPOT) 5 image data and the post-classification comparison technique to identify changes in the particular features in the landscape. Cyclone Sidr (2007) was used to test the applicability of this approach in Sarankhola Upazila in Bangladesh. The object-based approach provided accurate results for classifying features from pre- and post-cyclone satellite images with an overall accuracy of 95.43% and 93.27%, respectively. Mapped changes identified the extent, type, and form of cyclone induced impacts. Our results indicate that 63.15% of the study area was significantly affected by cyclone Sidr. The majority of mapped damage was found in vegetation, cropped lands, settlements, and infrastructure. The damage results were verified through the high spatial resolution satellite imagery, reports and pictures that were taken after the cyclone. The methods developed may be used in future to assess the multiple impacts caused by tropical cyclones in Bangladesh and other similar environments for the purposes of tropical cyclone disaster management.
Keyword Remote Sensing
Imaging Science & Photographic Technology
Remote Sensing
Imaging Science & Photographic Technology
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Tue, 11 Oct 2016, 23:02:22 EST by Mr Chris Roelfsema on behalf of School of Geography, Planning & Env Management