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An object-based approach for flood area delineation in a transboundary area using ENVISAT ASAR and LANDSAT TM data

International Journal of Digital Earth 2013年第S02期6卷 124-136页

作者： Giorgos Mallinis Ioannis Z.Gitas vassileios giannakopoulos Fotis Maris Maria Tsakiri-Strati School of Forestry and Natural Environment Aristotle University of ThessalonikiThessalonikiGreece Forest Mapping Department Forest Directorate of EvrosDAMTAlexandroupolisGreece Department of Forestry&Management of the Environment and Natural Resources Democritus University of ThraceOrestiadaGreece Department of Cadastre Photogrammetry and CartographyFaculty of Rural and Surveying EngineeringAristotle University of ThessalonikiThessalonikiGreece

The aim of this study was to develop a straightforward approach for flood area mapping in a transboundary riverbed using Geographic Object-Based Image *** bilateral/multilateral cooperation among neighboring countries hampers effective disaster management and mitigation activities over transboundary areas and strengthens the demand for reliable remote-sensing-derived *** object-based classification approaches using ENVISAT/ASAR and multi-temporal LANDSAT TM data were developed and validated for flood area *** accuracy assessment of the classification results was based on oblique air photo interpretation and an area-based comparison with the official flood *** bi-level object-based model using the Normalized Difference Water Index and the original post-flood TM bands attained 92.67%overall accuracy in inundated-areas detection,while the ENVISAT/ASAR classification was the least accurate(85.33%),probably due to the lower spatial resolution of the Synthetic Aperture Radar image.A strong agreement(92.14%)was found between the LANDSAT flood extent and the official flood map,suggesting that the proposed method has the potential to be employed in the future as a standard part of a flood crisis management process.

关键词： natural disaster remote sensing GEOBIA classification digital earth

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