In the framework of the WISELAND project, funded by MIUR, we tested the integrationbetween LiDAR and hyperspectral methodologies in the Valoria landslide (Modenaprovince, Italy), a high risk area with vulnerable elements, subjected to periodic andabrupt reactivations. Multitemporal LiDAR Digital Terrain Models (DTMs) allowedthe calculation of a differential surface, highlighting absolute height variations,recognizing the main landslide components and identifying depletion and accumulationzones. Hyperspectral data helped in the landslide terrain roughness characterization,performing the Principal Component Analysis (PCA) and correlating the results withFlatness and Organization geomorphometric parameters derived from LiDAR DTM.

LiDAR And Hyperspectral Data Integration For Landslide Monitoring: The Test Case Of Valoria Landslide

Sterzai P.;Vellico M.;Coren F.;
2010-01-01

Abstract

In the framework of the WISELAND project, funded by MIUR, we tested the integrationbetween LiDAR and hyperspectral methodologies in the Valoria landslide (Modenaprovince, Italy), a high risk area with vulnerable elements, subjected to periodic andabrupt reactivations. Multitemporal LiDAR Digital Terrain Models (DTMs) allowedthe calculation of a differential surface, highlighting absolute height variations,recognizing the main landslide components and identifying depletion and accumulationzones. Hyperspectral data helped in the landslide terrain roughness characterization,performing the Principal Component Analysis (PCA) and correlating the results withFlatness and Organization geomorphometric parameters derived from LiDAR DTM.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14083/3429
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