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Chiba University (2017)

Application of satellite optical and SAR imagery for urban reconstruction monitoring and land-cover classification in arid areas

HASHEMI PARAST, Seyed Omid

Titre : Application of satellite optical and SAR imagery for urban reconstruction monitoring and land-cover classification in arid areas

光学およびSAR衛星画像を用いた乾燥地域における都市復興モニタリングと土地被覆分類

Auteur : HASHEMI PARAST, Seyed Omid

Université de soutenance : Chiba University

Grade : Doctoral Thesis 2017

Résumé
Investigating and understanding the reconstruction process and current situation of urban areas after natural disasters is a useful method for evaluating the performance of the project’s implementers. In this study, we tracked and analyzed the reconstruction process in Bam, Iran, after the city was struck by an earthquake with a Mw of 6.6 on December 26, 2003. We adopted three approaches to assess the city’s post-earthquake reconstruction comprehensively and to shed light on the progress and sustainability of disaster recovery projects. The results indicated that considerable progress had been made in reconstructing some of the damaged areas. However, progress was relatively slow in severely damaged areas. Moreover, we detected and classified the recent land-covers of the Bam area by using the confusion of high-resolution synthetic aperture radar (SAR) Images (ALOS-2) and the optical image (Sentinel2). Detection and Classification of land-covers by only optical imagery, in particular for buildings, are often complicated process with the low accuracy results in desert areas such as the Bam. We could obtain a reasonable classification of the land covers by the composition of quad- and dualSAR images with reverse sensor’s passes and normalized difference vegetation index (NDVI) from the Sentinel-2 Image. This method led to high accuracy, fast estimation and less dependency on visual inspection.

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Page publiée le 24 janvier 2018