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Summary of Proposal MTH2011

TitleLandslide Vulnerability Model with TSX (LAVMO-TSX)
Investigator Elias, Panagiotis - National Observatory of Athens, Inst. for Astrononomy,Astrophysics,Space Applications and Remote Sensing
Team Member
Prof. Anastassopoulos, Vassilis - University of Patras , Department of Physics
Dr. Sykioti, Olga - National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing
Dr. Paronis, Dimitrios - National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing
Dr. Tsagaris, Vassilis - University of Patras, Department of Physics
Dr. Briole, Pierre - Ecole Normale Superieure, Departement de Geosciences
Mr. Theoharatos, Christos - University of Patras, Department of Physics
SummaryLandslides are recognized as natural hazards having a majorsocial–economic impact and represent a significant risk for citizens as well as for infrastructures. During the last years, a significant increase of landslide occurrences has been recorded globally as a result of increased urbanization and development, continued deforestation and extreme meteorological events. In Greek territory this exceeds the 20% of the totally recorded cases during the last fifteen years. The“Landslide Vulnerability Model” will be a useful tool for prediction and assessment of risks related with landslides in the cases of urban planning, large public infrastructure development etc. The main objectives of the project are: -To develop a database with in situ measurements of landslides for Greece and specific regions of interest based on engineering geology but also satellite geodesy (GPS data). -To develop a database of remote sensing data and specifically SAR data for the regions of interest covering large time intervals. -The synergistic use of satellite and in situ measurements in order to understand and validate landslide mechanisms. -The design and validation of a Landslide Vulnerability Model based on data and decision fusion methods that will support decision making organizations. The“Landslide Vulnerability Model – LAVMO” project aims at creating a persistently updated electronic platform which will help to monitor, predict and assess risks related with landslides. Data from Engineering Geology, Satellite Imagerery and GPS Measurements will be fused in order to provide a comprehensive information representation. New concepts will be developed for acquiring in-situ data (EngineeringGeology). The deeper understanding of the dynamic behavior of ground patches, in larger areas of the Earth surface, by means of remote sensing techniques, will determine specific optimized locations for data acquisition. Along with the conventional InSAR methods, advanced Interferometric techniques based on the so-called Permanent Scatterers and SBAS (small baselines subset) will be applied. GPS will detect micro-displacements of specific patches occurring continuously, during long time periods. Thus, Remote Sensing techniques will allow the detection of both linear and non-linear displacements of the earth’s surface. The project will progress the state of the art in better understanding the dynamic behavior of surface movement in a larger scale than that monitored using in situ measurements. In this sense, Engineering Geology will benefit from increased accuracy and wider coverage in monitoring landslides. Improvements are foreseen to existing models. Progress will be achieved in the state of the art of fusion techniques in integrating dynamic information that comprises multi-temporal data (both in-situ and satellite). Fusion methods will be developed combining raw data, features and decisions, taking into consideration correlation properties. The challenging goal is the diverse nature of the satellite and in-situ data that will be fused. A comprehensive representation of the integrated information will be obtained for maximizing detectability of incident landslides. Scheduled acquisitions over the two selected study areas will be needed. The outcome of LAVMO-TSX project will be thematic maps with ground movements due to landslide procedures, deformation rates at different scales emerged from DInSAR and PSI calculations of TS-X data. Moreover, the results will be published in scientific papers and/or conferences. The LAVMO projected will be co-financed by the European Union and Greek national funds.

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