Remote sensing techniques and data for natural hazard research

Will artificial intelligence and robotics boost or limit Natural Hazard Research in mountain areas?

What 3D and 4D remote sensing data is available or missing for Natural Hazard Research in mountain areas?

 

We want to draw your attention to the registration and submission of abstracts for the Workshop 2.4.A: Remote sensing techniques and data for natural hazard research at the International Mountain Conference 2019 (https://www.uibk.ac.at/congress/imc2019/program/) with deadline 14.2.2019.

Natural hazards processes occurring in mountain areas endanger human living and effect regions, which are already limited by their spatial resources. Many of them are interlinked by hydrological conditions, geomorphological and geological processes interacting with vegetation. Such hazards are for example shallow and deep-seated landslides, hillslope erosion, and rock fall. Vegetation may act as stabilisation factor by the contribution of root tensile strength but also by influencing hydrological soil conditions after rainfall. Anthopogenic processes such as land use change and infrastructure development at susceptible areas may strongly impact on hazardous processes. This session will present Earth Observation techniques for automated quantification of surface changes, monitoring and modelling of such natural hazards and related processes. Contributions working with satellite and airborne sensors, unmanned aerial vehicles, geosensor networks and terrestrial static and moving platforms including robotics are welcome. 

 

Students4Students Summer School
http://www.imc2019.info/summerschool/

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