Application of GIS and Remote Sensing techniques for landslide risk prediction.
Abstract
The goals of the PhD study are in complex application of GIS and Remote Sensing for the evaluation of landslide risk through landslide susceptibility and landslide hazard estimation. Remote Sensing (satellite and aerial imagery) are generally used for the extraction of thematical information (DEM, land cover, structural geology, landslide activity and so on) necessary for further evaluation. GIS is used as powerful tool for combining of obtained thematical information together with known landslide activity in order to find certain correlation in these phenomenas. Several approaches (discriminant analysis, artificial neural network, probability estimation) are used for the mapping of landslide susceptibility, hazard and risk. The target area of the study is situated in the south of Kyrgyzstan, in the valley of Mailuu-Suu river - highly suscepted by landslide activity owing to which there are losses and certain risk of regional ecological catastrophe.
Publikationen
Mitarbeiter*innen
Jean Friedrich Schneider
O.Univ.Prof. Dipl.-Ing. Dr.nat.techn. Jean Friedrich Schneider
jean.schneider@boku.ac.at
Projektleiter*in
01.03.2005 - 01.03.2007