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Open AccessArticle

Indirect Assessment of Sedimentation in Hydropower Dams Using MODIS Remote Sensing Images

1
Agência Nacional de Águas (ANA), Setor Policial, Área 5, Qd. 3, Bloco L, Brasília CEP 70610-200, Brazil
2
Instituto de Geociências, Universidade de Brasília (UnB), Campus Universitário Darcy Ribeiro, ICC Centro, Brasília CEP 70.910-900, Brazil
3
Géosciences Environnement Toulouse (GET), UMR5563, Institut de Recherche pour le Développement (IRD)/Centre National de la Recherche Scientifique (CNRS)/Université Toulouse 3, 14 Avenue Edouard Belin, 31400 Toulouse, France
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Departamento de Zoologia, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Distrito de Rubião Júnior, Botucatu CEP 18618-970, Brazil
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Instituto Geofísico del Perú (IGP), Calle Badajoz 169, Urb. Mayorazgo IV etapa, Ate, Lima 15012, Peru
*
Authors to whom correspondence should be addressed.
Remote Sens. 2019, 11(3), 314; https://doi.org/10.3390/rs11030314
Received: 27 December 2018 / Revised: 23 January 2019 / Accepted: 31 January 2019 / Published: 5 February 2019
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
In this study, we used moderate resolution imaging spectroradiometer (MODIS) satellite images to quantify the sedimentation processes in a cascade of six hydropower dams along a 700-km transect in the Paranapanema River in Brazil. Turbidity field measurement acquired over 10 years were used to calibrate a turbidity retrieval algorithm based on MODIS surface reflectance products. An independent field dataset was used to validate the remote sensing estimates showing fine accuracy (RMSE of 9.5 NTU, r = 0.75, N = 138). By processing 13 years of MODIS images since 2000, we showed that satellite data can provide robust turbidity monitoring over the entire transect and can identify extreme sediment discharge events occurring on daily to annual scales. We retrieved the decrease in the water turbidity as a function of distance within each reservoir that is related to sedimentation processes. The remote sensing-retrieved turbidity decrease within the reservoirs ranged from 2 to 62% making possible to infer the reservoir type and operation (storage versus run-of-river reservoirs). The reduction in turbidity assessed from space presented a good relationship with conventional sediment trapping efficiency calculations, demonstrating the potential use of this technology for monitoring the intensity of sedimentation processes within reservoirs and at large scale. View Full-Text
Keywords: Paranapanema River; turbidity; sedimentation; remote sensing; sediment trap efficiency; reservoir; river sediment discharge; suspended particulate matter; MODIS; water color Paranapanema River; turbidity; sedimentation; remote sensing; sediment trap efficiency; reservoir; river sediment discharge; suspended particulate matter; MODIS; water color
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MDPI and ACS Style

Condé, R.C.; Martinez, J.-M.; Pessotto, M.A.; Villar, R.; Cochonneau, G.; Henry, R.; Lopes, W.; Nogueira, M. Indirect Assessment of Sedimentation in Hydropower Dams Using MODIS Remote Sensing Images. Remote Sens. 2019, 11, 314.

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