Progress Report Form of WCoEs 2012

Transcription

1 ANNEX 4 Date of Submission Progress Report Form of WCoEs Short Title of WCoE: Advanced Technologies for LandSlides (ATLaS) 2. Name of Institution (Name of leader and ): Department of Earth Sciences, University of Florence Nicola Casagli University of Florence Phone: Fax: nicola.casagli@unifi.it 3. List of core members Filippo Catani Sandro Moretti Riccardo Fanti Veronica Tofani

2 Giovanni Gigli Chiara Del Ventisette 4. Progress report of activities up to 20 October 2012 WP 1: Remote sensing technologies for landslide detection, monitoring and rapid mapping In the framework of WP1, UNIFI WCoE has carried out a detailed analysis on the use of remote sensing techniques for landslide studies. Both well established and experimental techniques were compared and discussed with the objective to: i) Define and validate methodologies for detection, rapid mapping, rapid creation/updating of inventories/hazard maps, characterization, monitoring of landslides at regional and catchment scales using advanced remote sensing techniques; ii) Assist end-users and stakeholders in the selection of the most appropriate remote sensing techniques to be incorporated within integrated risk management processes and best practices. Since during the last decade several and very different remote sensing techniques have undergone rapid development, one of the main outputs of WP1 has been to provide a comprehensive overview (and technical analysis) of the different ground-based and remote sensing techniques currently available for the detection, fast characterization, rapid mapping and long-term monitoring of landslides. This work carried out in the framework of Milestone 1 has provided helpful and extensive support not only for researchers, but also for technicians and stakeholders, through the critical analysis of practical applications of these techniques to several case studies. WP 2: Coupling of short-term weather forecasting with geotechnical modeling for shallow landslide prediction The main outcome of this WP2 has been the setting up of a prototypal Early Warning System (EWS) specifically conceived for the prediction of shallow landslides, which are the most dangerous landslide typology because they are usually associated to very high velocities (and thus to a high destructive power), long runout distances and absence of premonitory signals before the triggering. The EWS proposed works like a complex chain, in which rainfall forecasts are used by hydrological and geotechnical models to forecast, with a sufficient lead time where and when shallow landslides will occur. The EWS has a multi-scale approach, using different

3 forecasting models specifically engineered for high-detail analysis at the slope scale and for regional scale applications. WP 3: Evaluation and development of reliable procedures and technologies for early warning The activities of UNIFI WCoE in the framework of WP 3 have focused on three main tasks: analysis of current state-of-art in monitoring and early warning technology; identification of useful geo-indicators (parameters to be measured and used as indicators in early warning systems for the landslide-related processes); evaluation and implementation of guidelines for monitoring and early warning. In particular during the last year UNIFI has carried an evaluation based on the information gathered from a review of the latest improvements of the most promising ground based techniques, on two questionnaires on their actual use within Europe and a discussion of the technical and scientific improvements obtained through several operational applications. 5. Plan of future activities In the framework of WP1 the planned future activities concerns the preparation of guidelines for selecting the remote sensing technologies which are most suitable to detect/characterize/map/monitor the landslide process at hand. Combining the technological features of each remote sensing method, the possible geomorphological features of the landslides (e.g. typology, displacement velocities and observational scales) and risk management strategies, the guidelines will be used to initially constrain the choice of methods to a few techniques that seem most feasible for the landslide process. Concerning WP2 the activities will focus on testing the Early Warning System set up for the prediction of shallow landslides on several test cases with very different meteorological and geological settings. To this scope some geotechnical campaigns will be carried in order to retrieve the most significant input data of the model. In the framework of WP3 the planned activities will focus on how landslide early-warning systems should be designed and operated and presents a screening study of existing EWS systems worldwide, discussing their applicability to different landslide types, scales and risk management steps. Furthermore a specific study will concern the definition and selection of the best physical parameters or indicator which can be more effectively used for real-time measurements in a specific monitoring or early warning system. This evaluation will be mostly based on analysis and evaluation of monitoring field data of selected test cases. An additional goal will be to define the possible critical values of the indicators to define alert thresholds for the triggering of mass movements. Publication (in Landslides, proceedings, meeting reports, or WEB)

4 NOLESINI T., DI TRAGLIA F., DEL VENTISETTE C., MORETTI S., CASAGLI N. in press. Deformations and slope instability on Stromboli volcano: Integration of GBInSAR data and analogue modeling. Geomorphology. Available online 22 October TAPETE D., CASAGLI N., LUZI G., FANTI R., GIGLI G., LEVA D., in press. Integrating radar and laser-based remote sensing techniques for monitoring structural deformation of archaeological monuments. Submitted to Journal of Archaeological Science. BIANCHINI S., CIGNA F., RIGHINI G., PROIETTI C., CASAGLI N., Landslide HotSpot Mapping by means of Persistent Scatterer Interferometry). Environmental Earth Sciences. Online First. CIGNA F., BIANCHINI S., CASAGLI N How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): the PSI-based matrix approach. Landslides. Online First. DEL VENTISETTE C., CASAGLI N., FORTUNY-GUASCH J., TARCHI D., Ruinon landslide (Valfurva, Italy) activity in relation to rainfall by means of GBInSAR monitoring. Landslides. Online First. VERSACE P., CASAGLI N. (editors) Sistemi di preannuncio e presidio territoriale per la mitigazione del rischio idrogeologico. Rendiconti Online Societa Geologica Italiana, 21, TAPETE D., FANTI R., CECCHI R., PETRANGELI P., CASAGLI N., Satellite radar interferometry for monitoring and early stage warning of structural instability in archaeological sites. Journal of Geophysics and Engineering. 9(49), S10-S25. CIAMPALINI A., CIGNA F., DEL VENTISETTE C., MORETTI S., LIGUORI V., CASAGLI N., Integrated geomorphological mapping in the north-western sector of Agrigento (Italy). Journal of Maps. 8(2), ARDIZZONE F., BASILE G., CARDINALI M., CASAGLI N., DEL CONTE S., DEL VENTISETTE C., FIORUCCI F., GARFAGNOLI F., GIGLI G., GUZZETTI F., IOVINE G., MONDINI A. C., MORETTI S., PANEBIANCO M., RASPINI F., REICHENBACH P., ROSSI M., TANTERI L., TERRANOVA O., Landslide inventory map for the Briga and the Giampilieri catchments, NE Sicily, Italy. Journal of Maps. 8(2), INTRIERI E., GIGLI G., MUGNAI F., FANTI R., CASAGLI N., Design and implementation of a landslide early warning system. Engineering Geology , DEL VENTISETTE C., GARFAGNOLI F., CIAMPALINI A., BATTISTINI A., GIGLI G., MORETT S., CASAGLI N., An integrated approach to the study of catastrophic debris- flows: geological hazard and human influence. Natural Hazards and Earth System Sciences. 12, ROSI A., SEGONI S., CATANI F., CASAGLI N., Statistical and environmental analyses for

5 the definition of a regional rainfall threshold for landslide triggering. Journal of Geographical Sciences. 22(4), HO LBLING, D., FU REDER, P., ANTOLINI F., CIGNA F., CASAGLI N., LANG S., A semi-automated object-based approach for landslide detection validated by persistent scatterer interferometry measures and landslide inventories. Remote Sensing. 4(5), LU P., CASAGLI N., CATANI F., TOFANI V., Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for slow moving landslides detection. International Journal of Remote Sensing. 33(2), RIGHINI G., PANCIOLI V., CASAGLI N., Updating landslide inventory maps using Persistent Scatterer Interferometry. International Journal of Remote Sensing. 33(7), TAPETE D., CASAGLI N., FANTI R., DEL VENTISETTE C., CECCHI R., PETRANGELI P., Analisi radar satellitare delle deformazioni recenti nell area archeologica della Domus Aurea e del Colle Oppio (Roma). Arkos, 26, CIGNA F., DEL VENTISETTE C., LIGUORI V. CASAGLI N., Advanced radar- interpretation of InSAR time series for mapping and characterization of geological processes. Natural Hazards and Earth System Sciences. 11(3), GIGLI G., FANTI R., CANUTI P., CASAGLI N., Integration of advanced monitoring and numerical modeling techniques for the complete risk scenario analysis of rockslides: the case of Mt. Beni (Florence, Italy). Engineering Geology. 120(1-4), CASAGLI N., TAPETE D., LUZI G., FANTI R., DEL CONTE S., LEVA D., Monitoraggio dell'area archeologica del Colle Palatino e del Foro Romano. Integrazione di tecniche radar interferometriche. Con prefazione di Roberto Cecchi. Kermes. 82, GIGLI G., CASAGLI N., Semi-automatic extraction of rock mass structural data from high resolution LIDAR point clouds. International Journal of Rock Mechanics and Mining Sciences. 48(2), DEL VENTISETTE C., INTRIERI E., LUZI G., CASAGLI N., FANTI R., LEVA D., Using ground based radar interferometry during emergency: the case of A3 motorway (Calabria Region, Italy) threatened by a landslide. Natural Hazards and Earth System Sciences. 11(9), LU P., STUMPF A., KERLE N., CASAGLI N., Object-oriented change detection for landslide rapid mapping. IEEE Geoscience and Remote Sensing Letters. 8(4), TOFANI V., CATANI F., CASAGLI N., Weather Forecasting and Radar Technologies for Landslide Prediction and Mapping: Some Examples in Italy. Berichte der Geologischen Bundesanstalt, 82,

6 CASAGLI N., SUPPER R., The Safeland Project - General overview and monitoring technology development. Berichte der Geologischen Bundesanstalt, 82, LUZI G., DEL VENTISETTE C., CASAGLI N., Monitoring deformations of the Sciara del Fuoco (Stromboli) through ground-based radar interferometry. Acta Volcanologica. 22(1-2), MORELLI S., GARDUN O MONROY V. H., GIGLI G., FALORNI G., ARREYGUE ROCHA E., CASAGLI N., The Tancitaro Debris Avalanche: characterization, propagation and modelling. Journal of Volcanology and Geothermal Research, 193, LU P., CASAGLI N., CATANI F., PSI-HSR: a new approach of representing Persistent Scatterer Interferometry (PSI) point targets using hue and saturation scale. International Journal of Remote Sensing, 31(8), CASAGLI N., CATANI F., DEL VENTISETTE C., LUZI G., Monitoring, prediction and early-warning using ground-based radar interferometry. Landslides. 7(3) pp