Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)
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Data
2018-08-01
Autores
Watanabe, Fernanda [UNESP]
Alcantara, Enner [UNESP]
Rodrigues, Thanan [UNESP]
Rotta, Luiz [UNESP]
Bernardo, Nariane [UNESP]
Imai, Nilton [UNESP]
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Editor
Acad Brasileira De Ciencias
Resumo
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.
Descrição
Palavras-chave
algal bloom, inland water color, spectral index, water quality, satellite imagery
Como citar
Anais Da Academia Brasileira De Ciencias. Rio Janeiro: Acad Brasileira De Ciencias, v. 90, n. 2, p. 1987-2000, 2018.