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Spatial and Temporal Mapping of Soil Moisture Content ,[object Object],with Polarimetric RADARSAT2 SAR Imagery ,[object Object],in the Alpine Area,[object Object],Luca Pasolli1,2,[object Object],Claudia Notarnicola2,[object Object],Lorenzo Bruzzone1,[object Object],Giacomo Bertoldi3,[object Object],Georg Niedriest3,[object Object],Ulrike Tappeiner3,[object Object],Marc Zebisch2,[object Object],Fabio Del Frate4,[object Object],Gaia Vaglio Laurin4,[object Object],E-mail: 	luca.pasolli@disi.unitn.it,[object Object],	luca.pasolli@eurac.edu,[object Object],Web: 	http://rslab.disi.unitn.it,[object Object],	http://www.eurac.edu,[object Object]
2,[object Object],Outline,[object Object],Introduction,[object Object],1,[object Object],Aim of the Work,[object Object],2,[object Object],Study Area and Dataset,[object Object],3,[object Object],Estimation System Description,[object Object],4,[object Object],Analysis of Results,[object Object],5,[object Object],Conclusion,[object Object],6,[object Object],IEEE International Geoscience and Remote Sensing Symposium IGARSS 2011   ,[object Object],Vancouver, Canada – 24-29 July, 2011,[object Object]
Introduction,[object Object],3,[object Object],SOFIA: SOil and Forest Information retrieval by using RADARSAT2 images,[object Object],[object Object]
Supported in the framework of the IRKIS project (Civil Protection Department, Province of Bolzano)Main Innovative Aspects:,[object Object],[object Object]
Mountain landscape (Alpine area)
Advanced estimation methodsObjectives:,[object Object],[object Object]
Estimation of vegetation biomass (forest)
Investigation on the influence of soil and vegetation parameters in connection to natural hazard in Alpine regions.
Estimation of soil moisture content on bare and vegetated areas (alpine meadows and pastures) IEEE International Geoscience and Remote Sensing Symposium IGARSS 2011   ,[object Object],Vancouver, Canada – 24-29 July, 2011,[object Object]
Introduction,[object Object],4,[object Object],Soil moisture estimation supports various application domains:,[object Object],[object Object]
flood and landslide prediction
climate change analysisChallenges: ,[object Object],[object Object]
sensitivityof microwave signals on different target properties (moisture content, roughness, vegetation, land use)
influence of topography on the microwave signal acquired by the sensorIn a previous study (Pasolli et al., 2010) RADARSAT2 SAR images have shown to be promising for the retrieval of soil moisture in Alpine areas:,[object Object],[object Object]
by exploiting an advanced retrieval algorithm based on the Support Vector Regression (SVR) methodL. Pasolli, C. Notarnicola, L. Bruzzone, G. Bertoldi, S. Della Chiesa, V. Hell, G. Niedrist, U. Tappeiner, M. Zebisch, F. Del Frate, G.V. Laurin, “EstimagionofSoilMoisture in an Alpine catchmentwith RADARSAT2 images”, Applied and EnvironmentalSoil Science, in press,[object Object],IEEE International Geoscience and Remote Sensing Symposium IGARSS 2011   ,[object Object],Vancouver, Canada – 24-29 July, 2011,[object Object]
5,[object Object],Aimof the Work,[object Object],ToFurther Investigate the RetrievalofSoilMoisture,[object Object],from RADARSAT2 SAR Images in Alpine Areas,[object Object],Byexploiting the fully-polarimetriccapabilityof RADARSAT2 in combinationwith standard and advancedfeatureextraction/selectionmethods,[object Object],Byextending the analysisin time and spacewith the availableimages,[object Object],IEEE International Geoscience and Remote Sensing Symposium IGARSS 2011   ,[object Object],Vancouver, Canada – 24-29 July, 2011,[object Object]

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