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FHYL: Field spectral libraries, airborne hyperspectral images and topographic and bathymetric LiDAR data for complex coastal mapping

Andrea Taramelli, Emiliana Valentini, Carlo Innocenti, Sergio Cappucci
2013 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS  
The implemented FHyL (Field spectral libraries, airborne Hyperspectral imagery and LiDAR altimetry) processing chain leads to an innovative mapping results obtained by an integration of multisensory data  ...  In the present paper, by combining field radiometry with contemporary airborne hyperspectral imagery and topographic and bathymetric LiDAR data an innovative approach with the application of Spectral Mixture  ... 
doi:10.1109/igarss.2013.6723270 dblp:conf/igarss/TaramelliVIC13 fatcat:oaxyjleqyrh5zebsy3vbvuky3m

Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach

Andrea Tramelli, Sergio Cappucci, Emiliana Valentini, Lorenzo Rossi, Iolanda Lisi
2020 Remote Sensing  
An application of the FHyL (field spectral libraries, airborne hyperspectral images and topographic LiDAR) method is presented.  ...  The FHyl method allows the integration of geomorphological observations into detailed maps by the multisensory data fusion process from hyperspectral, LiDAR, and in-situ radiometric data.  ...  Paolo Lupino for his interest and support. Thanks to the firm BLOOM-CGR for the logistics and execution of the LiDAR/MIVIS hyperspectral airborne campaign.  ... 
doi:10.3390/rs12071053 fatcat:4qghjaitqfddtk26ysxuzbix7e

Exploring the Dunes: The Correlations between Vegetation Cover Pattern and Morphology for Sediment Retention Assessment Using Airborne Multisensor Acquisition

Emiliana Valentini, Andrea Taramelli, Sergio Cappucci, Federico Filipponi, Alessandra Nguyen Xuan
2020 Remote Sensing  
Sediment distribution related to vegetation types is explored here on a single ridge dune system by using an airborne hyperspectral and light detection and ranging (LiDAR) remote sensing dataset.  ...  The novelty of the approach is mostly based on the synergistic use of LiDAR with hyperspectral that allowed (i) the benefit from already existing processing methods to simplify the way to obtain thematic  ...  Paolo Lupino for his interest and support.Thanks for the contribution to the achievement of this work goes to ISPRA colleagues during LIDLAZ project, Matteo Conti, Elena Pallottini, Raffaele Proietti and  ... 
doi:10.3390/rs12081229 fatcat:q4t5abq4tbb5jgy2cr2kde537m