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Open AccessArticle

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

Institute for Environmental Protection and Research (ISPRA), via Vitaliano Brancati 48, 00144 Rome, Italy
Istituto Universitario di Studi Superiori di Pavia (IUSS), Piazza della Vittoria 15, 27100 Pavia, Italy
National Agency for new technologies energy and sustainable development (ENEA), via Anguillarese 301, 00123 Rome, Italy
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(7), 1053; (registering DOI)
Received: 14 February 2020 / Revised: 16 March 2020 / Accepted: 18 March 2020 / Published: 25 March 2020
An application of the FHyL (field spectral libraries, airborne hyperspectral images and topographic LiDAR) method is presented. It is aimed to map and classify bedforms in submerged beach systems and has been applied to Sabaudia coast (Tirrenyan Sea, Central Italy). 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. The analysis of the sandy beach classification provides an identification of the variable bedforms by using LiDAR bathymetric Digital Surface Model (DSM) and Bathymetric Position Index (BPI) along the coastal stretch. The nearshore sand bars classification and analysis of the bed form parameters (e.g., depth, slope and convexity/concavity properties) provide excellent results in very shallow waters zones. Thanks to well-established LiDAR and spectroscopic techniques developed under the FHyL approach, remote sensing has the potential to deliver significant quantitative products in coastal areas. The developed method has become the standard for the systematic definition of the operational coastal airborne dataset that must be provided by coastal operational services as input to national downstream services. The methodology is also driving the harmonization procedure of coastal morphological dataset definition at the national scale and results have been used by the authorities to adopt a novel beach management technique. View Full-Text
Keywords: FHyL; sand bar; bedform classification; beach; morphology; LiDAR; DSM FHyL; sand bar; bedform classification; beach; morphology; LiDAR; DSM
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MDPI and ACS Style

Tramelli, A.; Cappucci, S.; Valentini, E.; Rossi, L.; Lisi, I. Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach. Remote Sens. 2020, 12, 1053.

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