Results
LAMPRE has:
- experimented new methods and techniques for preparing and for updating existing landslide inventory maps (LIMs), exploiting very-high resolution (VHR) stereoscopic satellite images.
- prepared event landslide inventory maps (ELIMs) for different test sites ranging in areas from 25 to 80 square kilometres, including two ELIMs for the Kaopin area (Taiwan), an ELIM for the Pogliaschina area (Liguria, Italy) and an ELIM for the Giampilieri area (Sicily, Italy).
- prepared landslide susceptibility models and maps (LSMMs) for areas ranging from a few to several thousands square kilometres, including the Briga catchment (Messina, Italy), and the Umbria region (Italy).
- determined the statistics of landslide areas for a number of existing inventories, including a geomorphological inventory in Umbria and event inventories in Italy and Taiwan, and for a new inventory of sub-marine landslides offshore Israel.
- prepared 3D surface deformation models (3DSMs) for the El Portalet active landslide (Huesca, Spain) and the Ivancich active landslide (Assisi, Umbria, Italy).
Products
LAMPRE has developed the following products & services:
- Landslide inventory maps
- Event landslide inventory maps
- Software for landslide susceptibility modelling
- Software to determine the statistics of landslide sizes
- 3D Surface deformation models of slow-moving landslides
- Models for the vulnerability to landslides of infrastructures
- Educational materials
LAMPRE has published papers in international journals, including:
Mondini, A. C. and Chang, K.-T. (2014) Combining spectral and geoenvironmental information for probabilistic event landslide mapping, Geomorphology, 213(C), 183–189, doi:10.1016/j.geomorph.2014.01.007.
Mondini A.C., Viero A., Cavalli M., Marchi L., Herrera G., Guzzetti F. (2014) Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy. Natural Hazards and Earth System Sciences, 14, 1749-1759, doi:10.5194/nhess-14-1749-2014,
Mondini A.C., Marchesini I., Rossi M., Chang K-T., Pasquariello G., Guzzetti F. (2013) Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data. Geomorphology, 201, 135-147, doi:10.1016/j.geomorph.2013.06.015.
