Journal
ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS
Volume 90, Issue 2, Pages 1987-2000Publisher
ACAD BRASILEIRA DE CIENCIAS
DOI: 10.1590/0001-3765201720170125
Keywords
algal bloom; inland water color; spectral index; water quality; satellite imagery
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Funding
- Fundacao de Amparo a Pesquisa no Estado de Sao Paulo (FAPESP) [2012/19821-1, 2013/09045-7, 2015/18525-8]
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq/MCTI) [472131/2012-5, 400881/2013-6, 482605/20138]
- PPGCC/UNESP
- Coordernadoria de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
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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 onboancl 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 MSUSentinel-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 perfonnance has been hampered by the bio-optical difference in the reservoir sections, drought in 2014 and pigment packaging.
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