Image processing of FORMOSAT-2 data for monitoring the South Asia tsunami
We report on the actions of the first daily revisit satellite, FORMOSAT-2, in the recent Indian Ocean tsunami disaster. Starting from the first images of Banda Aceh and Phuket taken on 28 December 2004, FORMOSAT-2 used its unique orbit and pointable sensor system to demonstrate the extent to which it is able to respond to emergencies. A total of 137 images throughout the Indian Ocean rim countries were taken within a month. The data were immediately analysed and turned into damage-assessment maps and other information resources for humanitarian aid. This paper focuses on the image-processing procedure followed for a fast response to the South Asia tsunami event. The imageodesy technique is used to coregister the level-2 product of FORMOSAT-2 image at high accuracy and speed. A novel approach for spectral reservation data fusion has also been proposed. With the advantages of accurate coregistration and reliable spectral property, the colour composites of FORMOSAT-2 imagery have been used as the principle source of information for our tsunami hazard assessment. The potential of FORMOSAT-2 for disaster monitoring is discussed. The technique developed in this research will be adapted to produce pan sharpened images as a standard value added product of FORMOSAT-2.
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Document Type: Research Article
Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan 701 ROC,Disaster Prevention Research Centre, National Cheng Kung University, Tainan, Taiwan 701 ROC
Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
National Space Organization, Science Based Industrial Park, Hsinchu, Taiwan 701 ROC
Disaster Prevention Research Centre, National Cheng Kung University, Tainan, Taiwan 701 ROC
Disaster Prevention Research Centre, National Cheng Kung University, Tainan, Taiwan 701 ROC,Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, Taiwan 701 ROC
Publication date: 2007-07-01
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