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Article

Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images

1
Department of Agricultural Sciences, Water Resources Management and Biosystems Engineering Division, University of Naples Federico II, 80055 Portici, NA, Italy
2
Department of Civil, Architectural and Environmental Engineering (DICEA), University of Naples Federico II, 80125 Napoli, NA, Italy
3
Impacts on Agriculture, Forests and Ecosystem Services (IAFES) Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, 01100 Viterbo, VT, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Dušan Žagar and Aizhong Ye
Water 2021, 13(10), 1333; https://doi.org/10.3390/w13101333
Received: 26 February 2021 / Revised: 28 April 2021 / Accepted: 29 April 2021 / Published: 11 May 2021
(This article belongs to the Special Issue Ecohydraulics Modeling and Simulation)
Estimating the main hydrodynamic features of real vegetated water bodies is crucial to assure a balance between their hydraulic conveyance and environmental quality. Riparian vegetation stands have a high impact on vegetated channels. The present work has the aim to integrate riparian vegetation’s reflectance indices and hydrodynamics of real vegetated water flows to assess the impact of riparian vegetation morphometry on bulk drag coefficients distribution along an abandoned vegetated drainage channel fully covered by 9–10 m high Arundo donax (commonly known as giant reed) stands, starting from flow average velocities measurements at 30 cross-sections identified along the channel. A map of riparian vegetation cover was obtained through digital processing of Unnamed Aerial Vehicle (UAV)-acquired multispectral images, which represent a fast way to observe riparian plants’ traits in hardly accessible areas such as vegetated water bodies in natural conditions. In this study, the portion of riparian plants effectively interacting with flow was expressed in terms of ground-based Leaf Area Index measurements (LAI), which easily related to UAV-based Normalized Difference Vegetation Index (NDVI). The comparative analysis between Arundo donax stands NDVI and LAI map enabled the analysis of the impact of UAV-acquired multispectral imagery on bulk drag predictions along the vegetated drainage channel. View Full-Text
Keywords: ecohydraulics; bulk drag coefficients; vegetated flows; Arundo donax stands; multispectral images; UAV ecohydraulics; bulk drag coefficients; vegetated flows; Arundo donax stands; multispectral images; UAV
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MDPI and ACS Style

Lama, G.F.C.; Crimaldi, M.; Pasquino, V.; Padulano, R.; Chirico, G.B. Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images. Water 2021, 13, 1333. https://doi.org/10.3390/w13101333

AMA Style

Lama GFC, Crimaldi M, Pasquino V, Padulano R, Chirico GB. Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images. Water. 2021; 13(10):1333. https://doi.org/10.3390/w13101333

Chicago/Turabian Style

Lama, Giuseppe F.C., Mariano Crimaldi, Vittorio Pasquino, Roberta Padulano, and Giovanni B. Chirico 2021. "Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images" Water 13, no. 10: 1333. https://doi.org/10.3390/w13101333

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