reports on the development and application of object-based image analysis (OBIA) methods for semi-automated landslide mapping using optical and SAR remote sensing data. Both the complexities in efficiently and accurately identifying, mapping and inventorying landslides as well as the potentials of powerful methods such as OBIA coupled with results from synthetic aperture radar interferometry (InSAR) are described and discussed.
Quotations from Daniel Hölbling are exemplified by several examples from his and his colleagues’ research on landslides in Taiwan, New Zealand and Iceland, including field photos from past field trips. The article also emphasizes the ongoing research carried out in the MORPH (Mapping, Monitoring and Modelling the Spatio-Temporal Dynamics of Land Surface Morphology) project.
The article by freelance writer Mary Jo Wagner was compiled based on interviews with and material provided by Daniel Hölbling, who coordinates the landslide related research at Z_GIS. The story was also published in the November issue of the American Surveyor Magazine.
Contact: Daniel Hölbling
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