Displaying earthquake damage in an urban area using a vegetation – impervious – soil model and remotely sensed data
Kaya, S., Llewellyn, G. and Curran, P.J. (2004) Displaying earthquake damage in an urban area using a vegetation – impervious – soil model and remotely sensed data. In, Proceedings of the International Society for Photogrammetry and Remote Sensing Conference. International Society for Photogrammetry and Remote Sensing Conference Istanbul, Turkey, International Society for Photogrammetry and Remote Sensing, 634-638.
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The aim of this study was to use remotely sensed data to record earthquake-induced land cover change. On 17 August 1999, an earthquake struck northwestern Turkey, at 3:01:17 a.m. local time and lasted about 40 seconds. The most heavily damaged area was around the Gulf of Izmit and the city of Adapazari. The towns of Golcuk and Yalova, along the southern shore of the Gulf, the harbour city of Izmit at the eastern end of the Gulf, the town of Sapanca about 40 km east of Izmit and the city of Adapazari 50 km east of Izmit were sites of massive structural damage and extensive ground failure. The pre-earthquake and post-earthquake SPOT HRV images of the city of Adapazari were geometrically corrected and classified and revealed that 7.1 % of the post-earthquake area comprised collapsed buildings. The trend and relative magnitude of earthquake-induced land cover change were displayed using the Vegetation, Impervious, Soil (V-I-S) model.
|Item Type:||Book Section|
|Keywords:||spot hrv data, earthquake, land cover, vegetation-impervious-soil model, adapazari, classification|
|Subjects:||G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
G Geography. Anthropology. Recreation > GE Environmental Sciences
|Divisions:||University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
|Date Deposited:||06 May 2005|
|Last Modified:||02 Mar 2012 12:25|
|Contributors:||Kaya, S. (Author)
Llewellyn, G. (Author)
Curran, P.J. (Author)
|Publisher:||International Society for Photogrammetry and Remote Sensing|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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