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This work presents a number of semiautomatic optical image processing methods applied to both space and aerial with various spatial resolutions and spectral ranges for recognition of landslides of various types and sizes in different regions. Methods include segmentation of images based on their texture spectrum to mainly detect earth flows and rotational landslides, edge and texture enhancement of landslide scarps and boundaries, spectral enhancement to discriminate landslide bodies, and 3D-image visualization.

In addition, a new method to indirectly monitor landslides over extensive areas is presented. It is based on automatic detection of land surface changes caused by mass movements and shareholding of multi-temporal high-spatial resolution optical images. This method has been applied to the study of the reactivation of the Tessina large landslide in the Italian Eastern Alps. To this end, panchromatic images at 1m resolutions have been used. The landslide is thus classified in sectors according to their activity during the time period covered by the images. .

Additional information

Authors: HERV?S J, JRC, IPSC, Ispra (IT);ROSIN P L, University of Cardiff, Department of Computer Science (GB)
Bibliographic Reference: An oral report given at: V Simposio Nacional sobre Taludes y Laderas Inestables. Held in: Madrid (ES), 27-30 November 2001
Record Number: 200114158 / Last updated on: 2001-12-21
Original language: es
Available languages: es
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