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|Title:||Landslide Ground Based Remote Sensing Monitoring: Formigal Case Study (Huesca, Spain)|
|Authors:||HERRERA Gerardo; PONCE DE LEON Diana; MULAS Joaquin; LLORENTE Miguel; HERVAS DE DIEGO FRANCISCO; LUZI Guido; MECATTI Daniele; NOFERINI Linhsia; MACALUSO Giovanni; PIERACCINI Massimiliano; TAMBURINI Andrea; FEDERICI Paolo|
|Citation:||Geophysical Research Abstracts vol. 9 p. 07945|
|Publisher:||Copernicus Gesellschaft mbH|
|Type:||Articles in periodicals and books|
|Abstract:||Galahad is an ongoing Specific Targeted Research Project developed within the EU 6th Framework Programme ¿ Priority 18.104.22.168. The objective is to retrieve, through the use of improved GB-SAR and TLS technologies, field parameters that can be used in prediction algorithms of landslides, avalanches and glaciers related hazards. The landslide study area is located in the ski resort of Formigal, central Pyrenees (province of Huesca, Spain). The excavation of a parking area in the summer of 2004 reactivated a complex paleolandslide creating new sliding surfaces. The movement extends over an area of 0.25 km2 and experienced displacements as large as 0.5 cm/day during the period 2004¿2005. Stabilization engineering solutions were carried out reducing maximum observed displacement to 0.2 cm/day at the end of 2005. Within Galahad performed activities consisted in the collection of data on the landslide useful for its detailed characterization and the execution of a series of site measurement campaigns with GB-SAR, TLS and Differential GPS (D-GPS). The monitoring activities started in May 2006 completing a series of four campaigns with Total Station and D-GPS, a continuous two month data acquisition with GB-SAR and several TLS scans during two different periods from three points of view over the landslide. In this paper data obtained by GB-SAR and TLS are compared with D-GPS data, and a good agreement has been found between data sets. The project is still in progress and new site measurement campaigns with GB-SAR, TLS and D-GPS in 2007 will provide further insight into landslide forecasting models.|
|JRC Institute:||Sustainable Resources|
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