Page - 497 - in Book of Full Papers - Symposium Hydro Engineering

Fig.3: Vegetation in the study area 5. DIGITAL IMAGE PROCESSING Different satellite data and image processing tools were tested in order to find out whether the satellite data can contribute to the detection of causal factors influencing the susceptibility to slope failure and to seasonal landscape monitoring. For a better overview of seasonal influences multi-temporal analysis of different satellite data has to be carried out, in combination with evaluations of long-term precipitation data, river water and groundwater table measurements in the field and further climate data (precipitation, temperature, wind). Precipitation data and groundwater table data are an important input when dealing with the seasonal influences on mass movements. The different satellite data and the workflow are presented in Fig.4. For the present study mainly Landsat- and RapidEye- images were used. The use of multi-temporal satellite remote sensing data opens up the opportunity for the development of efficient methods for systematic spatiotemporal mapping of landslides over large areas. 497