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Evaluation of SENTINEL-2/MSI Imagery Products LEVEL-2A Obtained by Three Different Atmospheric Corrections for Monitoring Suspended Sediments Concentration in Madeira River, Brazil

Abstract : Data provided by spatial sensors combined with remote sensing techniques and analysis of the optical properties of waters allow the mapping of the suspended sediment concentration (SSC) in aquatic bodies. For this, estimation models require data with the lowest possible amount of atmospheric artifacts. In this study we compared the water remote sensing reflectance (Rrs) of the Santo Antônio Hydroelectric Power Plant reservoir in Porto Velho-RO, Brazil, after applying three different atmospheric corrections algorithms in Sentinel-2/MSI imagery products. The atmospheric corrected reflectances of the MODIS sensor were also used for reference. SSC was calculated with models based on the red and near-infrared (NIR) bands over three distinct regions of the reservoir. Reflectance data showed significant variations for Sentinel-2, bands 4 and 8a, and MODIS, bands RED and IR, when different atmospheric correction algorithms were used. SSC maps and estimates were produced to show sediment load variation as a function of hydrological regime. The analyzes showed that the SSC estimates done with Sentinel-2 / MSI satellite images using GRS (Glint Remove Sentinel) atmospheric correction presented an average difference of 27.3% and were the closest to the in situ measurements. SSC estimates from MODIS products were around 34.6% different from estimates made using the GRS atmospheric correction applied to Sentinel-2 / MSI products.
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https://hal-insu.archives-ouvertes.fr/insu-03661434
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Submitted on : Saturday, May 7, 2022 - 8:39:10 AM
Last modification on : Monday, July 4, 2022 - 9:59:03 AM
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D. R. A. E. Santos, J. M. Martinez, T. Harmel, H. D. Borges, H. Roig. Evaluation of SENTINEL-2/MSI Imagery Products LEVEL-2A Obtained by Three Different Atmospheric Corrections for Monitoring Suspended Sediments Concentration in Madeira River, Brazil. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 4212, pp.243-248. ⟨10.5194/isprs-archives-XLII-3-W12-2020-243-2020⟩. ⟨insu-03661434⟩

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