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Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)

Anais da Academia Brasileira de Ciências, 2018-08, Vol.90 (2 suppl 1), p.1987-2000 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0001-3765 ;ISSN: 1678-2690 ;EISSN: 1678-2690 ;DOI: 10.1590/0001-3765201720170125 ;PMID: 28876398

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  • Title:
    Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)
  • Author: Watanabe, Fernanda ; Alcântara, Enner ; Rodrigues, Thanan ; Rotta, Luiz ; Bernardo, Nariane ; Imai, Nilton
  • Subjects: algal bloom ; inland water color ; MULTIDISCIPLINARY SCIENCES ; satellite imagery ; spectral index ; water quality
  • Is Part Of: Anais da Academia Brasileira de Ciências, 2018-08, Vol.90 (2 suppl 1), p.1987-2000
  • Description: 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.
  • Publisher: Brazil: Academia Brasileira de Ciências
  • Language: English;Portuguese
  • Identifier: ISSN: 0001-3765
    ISSN: 1678-2690
    EISSN: 1678-2690
    DOI: 10.1590/0001-3765201720170125
    PMID: 28876398
  • Source: SciELO
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