Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment
AbstractGiven high urbanization rates and increasing spatio-temporal variability in many present-day cities, exposure information is often out-of-date, highly aggregated or spatially fragmented, increasing the uncertainties associated with seismic risk assessments. This work therefore aims at using space-based technologies to estimate, complement and extend exposure data at multiple scales, over large areas and at a comparatively low cost for the case of the city of Bishkek, Kyrgyzstan. At a neighborhood scale, an analysis of urban structures using medium-resolution optical satellite images is performed. Applying image classification and change-detection analysis to a time-series of Landsat images, the urban environment can be delineated into areas of relatively homogeneous urban structure types, which can provide a first estimate of an exposed building stock (e.g., approximate age of structures, composition and distribution of predominant building types). At a building-by-building scale, a more detailed analysis of the exposed building stock is carried out using a high-resolution Quickbird image. Furthermore, the multi-resolution datasets are combined with census data to disaggregate population statistics. The tools used within this study are being developed on a free- and open-source basis and aim at being transparent, usable and transferable.
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Wieland, M.; Pittore, M.; Parolai, S.; Zschau, J. Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment. ISPRS Int. J. Geo-Inf. 2012, 1, 69-88.
Wieland M, Pittore M, Parolai S, Zschau J. Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment. ISPRS International Journal of Geo-Information. 2012; 1(1):69-88.Chicago/Turabian Style
Wieland, Marc; Pittore, Massimiliano; Parolai, Stefano; Zschau, Jochen. 2012. "Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment." ISPRS Int. J. Geo-Inf. 1, no. 1: 69-88.