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vol.90 issue2  suppl.1Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil regionHigh-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica author indexsubject indexarticles search
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Anais da Academia Brasileira de Ciências

Print version ISSN 0001-3765On-line version ISSN 1678-2690

Abstract

WATANABE, FERNANDA et al. Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil). An. Acad. Bras. Ciênc. [online]. 2018, vol.90, n.2, suppl.1, pp.1987-2000.  Epub Aug 31, 2017. ISSN 1678-2690.  https://doi.org/10.1590/0001-3765201720170125.

In this present research, we assessed the performance of band algorithms in estimating chlorophyll-a (Chl-a) concentration based on bands of two new sensors: Operational Land Imager onboard Landsat-8 satellite (OLI/Landsat-8), and MultiSpectral Instrument onboard Sentinel-2A (MSI/Sentinel-2A). Band combinations designed for Thematic Mapper onboard Landsat-5 satellite (TM/Landsat-5) and MEdium Resolution Imaging Spectrometer onboard Envisat platform (MERIS/Envisat) were adapted for OLI/Landsat-8 and MSI/Sentinel-2A bands. Algorithms were calibrated using in situ measurements collected in three field campaigns carried out in different seasons. The study area was the Barra Bonita hydroelectric reservoir (BBHR), a highly productive aquatic system. With exception of the three-band algorithm, the algorithms were spectrally few affected by sensors changes. On the other hands, algorithm performance has been hampered by the bio-optical difference in the reservoir sections, drought in 2014 and pigment packaging.

Keywords : algal bloom; inland water color; spectral index; water quality; satellite imagery.

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