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iSLIDE (2013 - 2015)

Integrated Semi-automated Landslide Delineation, Classification and Evaluation

Project summary: The overall objective of iSLIDE is to develop a methodological framework for landslide delineation, classification and evaluation. Therefore, various types of remote sensing data will be integrated in object-based image analysis (OBIA) realms: optical remote sensing data, digital elevation models, and terrain unit layers. Additionally, the potential of SAR data will be investigated. OBIA is a valuable approach for semi-automated landslide mapping, since - next to spectral - also spatial, morphometric, textural, as well as contextual properties can be addressed.

The methodology will be developed and tested on one Austrian site and two Taiwanese study areas, which are frequently affected by landslides. The proposed framework is designed to contribute to an increased reliability, transferability and automation in object-based landslide detection, classification and change detection, as well as evaluation. It is expected that this research will break new ground in the field of object-based landslide analysis, especially with respect to conceptual and methodological developments. The project will make an essential contribution towards the development of a methodology that is I) objective, II) transferable across areas, III) robust against changing input data and resolutions, and IV) automated.

 

Instrument: FWF, Stand-alone project

Role: Coordinator

Project volume: 230,400 EUR

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Project website: http://islide.zgis.net