| Registro completo |
| Provedor de dados: |
Anais da ABC (AABC)
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| País: |
Brazil
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| Título: |
Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)
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| Autores: |
WATANABE,FERNANDA
ALCÂNTARA,ENNER
RODRIGUES,THANAN
ROTTA,LUIZ
BERNARDO,NARIANE
IMAI,NILTON
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| Data: |
2018-08-01
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| Ano: |
2018
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| Palavras-chave: |
Algal bloom
Inland water color
Spectral index
Water quality
Satellite imagery
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| Resumo: |
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 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.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000501987
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| Editor: |
Academia Brasileira de Ciências
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| Relação: |
10.1590/0001-3765201720170125
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| Formato: |
text/html
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| Fonte: |
Anais da Academia Brasileira de Ciências v.90 n.2 suppl.1 2018
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| Direitos: |
info:eu-repo/semantics/openAccess
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