An integrated approach for modeling hillslope ecohydroclimatology: a new path to predict landslides in a changing climate

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The research aims at initiating a new refined methodology for landslide prediction by modeling responses of the eco-hydroclimatic environment of hillslope in a changing climate. The proposed methods are twofold: utilization of UAV LiDAR for detecting geomorphological conditions and vegetation canopy structure of hillslope in a high resolution, and application of measured field data to assess loading and stress condition in the surface soil layer of hillslope for predicting landslide occurrence. For the target area of Rokko mountain in Hyogo, an assessment model has been developed and being calibrated in progress. For assessment, the features of extreme rainfall and its relation with ground temperature have also been obtained by using observation and climate projection data.