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dc.contributor.authorBELWARD ALANen_GB
dc.contributor.authorSTIBIG HANS-JURGENen_GB
dc.contributor.authorEVA HUGHen_GB
dc.contributor.authorREMBOLD FELIXen_GB
dc.contributor.authorBUCHA Tomasen_GB
dc.contributor.authorHARTLEY ANDREWen_GB
dc.contributor.authorBEUCHLE RENE'en_GB
dc.contributor.authorAL KHUDHAIRY DELILAHen_GB
dc.contributor.authorMICHIELON MAUROen_GB
dc.contributor.authorMOLLICONE Daniloen_GB
dc.identifier.citationINTERNATIONAL JOURNAL OF REMOTE SENSING vol. 28 no. 13-14 p. 2977-2994en_GB
dc.description.abstractVisual analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) 250mbefore-and-after event imagery along 11,335 km of S. E. Asia and East Africa’s coastline identified major changes to land cover along 1220 km of coast caused by the tsunami of 26th December 2004. Over 81,000 hectares of land were mapped as lost or severely damaged. High spatial resolution images (10 32 m) from the Terra satellite’s Advanced Spaceborne Thermal Emission and Reflection Radiometer, Disaster Monitoring Constellation’s Surrey Linear Imager and the Landsat Enhanced Thematic Mapper (ETM) provided verification. Area estimates of damaged land from MODIS were within 17% of the estimates made using high spatial resolution systems. Errors of commission and omission were estimated at 14% and 31% respectively. The correlation between damage estimates from MODIS and high spatial resolution systems resulted in an R2 of 0.73 at the 99.5% confidence level, with MODIS proving especially effective at mapping tsunami-damaged areas greater in size than 150 ha. Correcting the original area estimate to account for errors of omission and commission using the regression model gave a revised figure of 103,854 ha of land damaged. Land cover types could not be assigned from the MODIS pre-and-post disaster image pairs, but interpretation of pre-disaster ETM imagery for the damaged areas indicated that around 5% was previously classed as barren, 11% as urban, 14% forest and 70% rural. The study provides confirmation that moderate resolution satellite imagery can provide rapid assessments of severe damage to land resources (though not cover type), as well as confirmation of non-affected areas, over very large geographical regions in the aftermath of natural disasters such as the tsunami.en_GB
dc.description.sponsorshipJRC.H.3-Global environement monitoringen_GB
dc.publisherTAYLOR & FRANCIS LTDen_GB
dc.titleMapping Severe Damage to Land Cover Following the 2004 Indian Ocean Tsunami Using Moderate Spatial Resolution Satellite Imageryen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Sustainable Resources

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