Retrieving Total Suspended Matter in Tropical Reservoirs Within a Cascade System with Widely Differing Optical Properties
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2017-12-01
Autores
Rodrigues, Thanan [UNESP]
Mishra, Deepak R.
Alcantara, Enner [UNESP]
Watanabe, Fernanda [UNESP]
Rotta, Luiz [UNESP]
Imai, Nilton Nobuhiro [UNESP]
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Resumo
Total suspended matter (TSM) is an important indicator of water quality and has an adverse effect on light propagation in the water affecting the primary production. Moderate resolution imaging spectroradiometer (MODIS) data have been widely used to develop numerous semiempirical models all over the world. In this paper, many of these models perform satisfactorily either in a single water body or in many similar turbid water environments, however, their performance drops when data from oligo-to-eutrophic environments are used to monitor all reservoirs simultaneously. Most of them tend to overestimate TSM at low concentration. Two separate model calibrations were used to monitor the spatio-temporal variability of TSM in two oligo-to-eutrophic reservoirs, Nova Avanhandava (Nav) and Barra Bonita (BB), situated in the cascade system of São Paulo State, Brazil. The exponential model using MODIS band 1 yielded the best accuracy for BB (RMSE = 3.66 mg/L) and MODIS band 1 based linear model showed the best performance for Nav (RMSE = 0.37 mg/L). The distribution of TSM in Nav showed comparatively low and homogenous concentrations for the entire reservoir but the magnitude doubled for a period between May and October. The same seasonal variability occurred in BB showing increased TSM trend in October compared to May, but the spatial variability was not homogeneous because of the runoff from Piracicaba River, which is the main contributor of TSM. Rainfall associated runoff and land use and land cover were the principal factors for TSM variability.
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Bio-optical property, empirical model, moderate resolution imaging spectroradiometer (MODIS), remote sensing, tropical reservoirs, water quality
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 10, n. 12, p. 5495-5512, 2017.