Titre:	Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs
Auteur(s):	Olivetti, Diogo Roig, Henrique Llacer Martinez, Jean-Michel Borges, Henrique Dantas Ferreira, Alexandre Casari, Raphael Augusto das Chagas Noqueli Salles, Leandro de Almedia Malta, Édio Albertin
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-3281-8512
metadata.dc.contributor.affiliation:	University of Brasília, Institute of Geosciences University of Brasília, Institute of Geosciences Université Toulouse 3, Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), UMR5563, Géosciences Environment Toulouse (GET) University of Brasília, Institute of Geosciences University of Brasília, Institute of Geosciences University of Brasília, Institute of Geosciences University of Brasília, Institute of Geosciences University of Brasília, Institute of Geosciences
Assunto::	Água - qualidade Sensoriamento remoto Veículos aéreos não tripulados Drones Drenagem urbana Reservatórios
Date de publication:	2020
Editeur:	MDPI
Référence bibliographique:	OLIVETTI, Diogo et al. Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs. Remote Sensing, [S. l.], v. 12, n. 11, 1855, 2020. DOI: https://doi.org/10.3390/rs12111855. Disponível em: https://www.mdpi.com/2072-4292/12/11/1855. Acesso em: 10 out. 2024.
Abstract:	The recent and continuous development of unmanned aerial vehicles (UAV) and small cameras with different spectral resolutions and imaging systems promotes new remote sensing platforms that can supply ultra-high spatial and temporal resolution, filling the gap between ground-based surveys and orbital sensors. This work aimed to monitor siltation in two large rural and urban reservoirs by recording water color variations within a savanna biome in the central region of Brazil using a low cost and very light unmanned platform. Airborne surveys were conducted using a Parrot Sequoia camera (~0.15 kg) onboard a DJI Phantom 4 UAV (~1.4 kg) during dry and rainy seasons over inlet areas of both reservoirs. Field measurements of total suspended solids (TSS) and water clarity were made jointly with the airborne survey campaigns. Field hyperspectral radiometry data were also collected during two field surveys. Bio-optical models for TSS were tested for all spectral bands of the Sequoia camera. The near-infrared single band was found to perform the best (R 2 : 0.94; RMSE: 7.8 mg L−1 ) for a 0–180 mg L−1 TSS range and was used to produce time series of TSS concentration maps of the study areas. This flexible platform enabled monitoring of the increase of TSS concentration at a ~13 cm spatial resolution in urban and rural drainages in the rainy season. Aerial surveys allowed us to map TSS load fluctuations in a 1 week period during which no satellite images were available due to continuous cloud coverage in the rainy season. This work demonstrates that a low-cost configuration allows dense TSS monitoring at the inlet areas of reservoirs and thus enables mapping of the sources of sediment inputs, supporting the definition of mitigation plans to limit the siltation process.
metadata.dc.description.unidade:	Instituto de Geociências (IG)
metadata.dc.description.ppg:	Programa de Pós-Graduação em Geociências Aplicadas e Geodinâmica
Licença::	(CC BY) © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI:	https://doi.org/10.3390/rs12111855
Collection(s) :	Artigos publicados em periódicos e afins

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