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10 October 2008 Using high-resolution satellite imagery in vulnerability modeling: an object-oriented approach
E. Nolte, F. Wenzel
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Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 710907 (2008) https://doi.org/10.1117/12.798383
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
The May 2006 Central Java earthquake (Mw=6,3) heavily struck the Special Province of Yogyakarta, Indonesia. The widespread damage and high number of casualties revealed the necessity of vulnerability assessment within this region. A vulnerability and risk analysis was conducted using a GIS-based Indicator-Index Method. In this analysis very high resolution satellite images were used for two purposes: Firstly to validate the risk map by detecting damaged areas. This lead to the development of an object-based and a pixel-based methodology for damage detection. The detected damage areas were analyzed on a building unit scale. For each building unit the damage was calculated. Secondly to extract detailed information on the spatial distribution of landuse in the study area. This was conducted using a object-based, multiresolution approach.
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E. Nolte and F. Wenzel "Using high-resolution satellite imagery in vulnerability modeling: an object-oriented approach", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 710907 (10 October 2008); https://doi.org/10.1117/12.798383
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KEYWORDS
Image segmentation
Image classification
Earthquakes
Satellites
Earth observing sensors
Image analysis
Satellite imaging
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