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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.
Andrea Taramelli; Sergio Cappucci; Emiliana Valentini; Lorenzo Rossi; Iolanda Lisi. Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach. Remote Sensing 2020, 12, 1053 .
AMA StyleAndrea Taramelli, Sergio Cappucci, Emiliana Valentini, Lorenzo Rossi, Iolanda Lisi. Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach. Remote Sensing. 2020; 12 (7):1053.
Chicago/Turabian StyleAndrea Taramelli; Sergio Cappucci; Emiliana Valentini; Lorenzo Rossi; Iolanda Lisi. 2020. "Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach." Remote Sensing 12, no. 7: 1053.
In recent years increasing attention has been paid to environmental effects that may result from marine dredging and disposal operations. In general, the fine-grained fraction of handled sediments can be dispersed far from the intervention site as a turbidity plume, depending on the specific site and operational parameters. Starting from a literature review, this paper suggests standards for estimating and characterizing the sediment source term, for setting up far-field modeling studies and analyzing numerical results, with the aim of optimizing, also from an economic point of view, the different project, execution and monitoring phases. The paper proposes an integrated modeling approach for simulating sediment dispersion due to sediment handling operations in different marine-coastal areas (off-shore, near-shore and semi-enclosed basins). Attention is paid to the characterization of sediment source terms due to different operational phases (removal, transport and disposal). The paper also deals with the definition of accuracy level of modeling activities, with regard to the main physical processes characterizing the different marine–coastal areas and to the type of environmental critical issues near the intervention site (if any). The main relationships between modeling and monitoring are given for the different design and management phases to support the selection of appropriate technical alternatives and monitoring actions and to ensure the environmental compliance of the proposed interventions.
Iolanda Lisi; Alessandra Feola; Antonello Bruschi; Andrea Pedroncini; Davide Pasquali; Marcello Di Risio. Mathematical Modeling Framework of Physical Effects Induced by Sediments Handling Operations in Marine and Coastal Areas. Journal of Marine Science and Engineering 2019, 7, 149 .
AMA StyleIolanda Lisi, Alessandra Feola, Antonello Bruschi, Andrea Pedroncini, Davide Pasquali, Marcello Di Risio. Mathematical Modeling Framework of Physical Effects Induced by Sediments Handling Operations in Marine and Coastal Areas. Journal of Marine Science and Engineering. 2019; 7 (5):149.
Chicago/Turabian StyleIolanda Lisi; Alessandra Feola; Antonello Bruschi; Andrea Pedroncini; Davide Pasquali; Marcello Di Risio. 2019. "Mathematical Modeling Framework of Physical Effects Induced by Sediments Handling Operations in Marine and Coastal Areas." Journal of Marine Science and Engineering 7, no. 5: 149.
The evaluation of the coastal hazard and vulnerability caused by storm conditions is an important issue related to coastal flooding and erosion. Although these topics have been widely tackled by past research, they cannot be avoided, but need to be carefully managed by local authorities in order to limit damage to coastal infrastructure, to protect human life, habitats and sensitive species. Usually, this issue is tackled through common approaches at the regional scale. This paper illustrates the first steps of a research project aimed at assessing coastal hazard and vulnerability to wave-induced flooding at the national scale. In order to apply the method to the national scale, it is necessary to select a suitable dataset. This has to be consistent with the whole application area, concerning its spatial distribution, reliability and availability. Thus, one of the aims of this project is to perform a comparative analysis using data available at the national and local scale. The analysis was performed for the area of Montalto di Castro (Tyrrhenian Sea) by using datasets with different spatial resolutions. The results revealed that the use of low resolution data does not significantly affect the estimated nearshore wave features, while the wave runup in underestimated by about 25%. This underestimation influences also the vulnerability and hazard assessments. In particular, the vulnerability is conservatively assessed if low resolution data are used. On the other hand, the hazard is conservatively assessed when low resolution data are used only if the wave runup is amplified by considering the 25% underestimation. The results presented herein can be extended to other sites with the same general features (i.e., microtidal and dissipative coastal stretches).
Marcello Di Risio; Antonello Bruschi; Iolanda Lisi; Valeria Pesarino; Davide Pasquali. Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale. Journal of Marine Science and Engineering 2017, 5, 51 .
AMA StyleMarcello Di Risio, Antonello Bruschi, Iolanda Lisi, Valeria Pesarino, Davide Pasquali. Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale. Journal of Marine Science and Engineering. 2017; 5 (4):51.
Chicago/Turabian StyleMarcello Di Risio; Antonello Bruschi; Iolanda Lisi; Valeria Pesarino; Davide Pasquali. 2017. "Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale." Journal of Marine Science and Engineering 5, no. 4: 51.