Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)
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Undergraduate course
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Acad Brasileira De Ciencias
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Article
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Acesso aberto
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Abstract
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.
Description
Keywords
algal bloom, inland water color, spectral index, water quality, satellite imagery
Language
English
Citation
Anais Da Academia Brasileira De Ciencias. Rio Janeiro: Acad Brasileira De Ciencias, v. 90, n. 2, p. 1987-2000, 2018.
