Data/hora: 07/06/2024 02:27:41

Provedor de dados: | 42
País: | Brazil
Título: | Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil)
Autores: | WATANABE,FERNANDA; ALCÂNTARA,ENNER; RODRIGUES,THANAN; ROTTA,LUIZ; BERNARDO,NARIANE; IMAI,NILTON.
Data: | 2018-08-01
Ano: | 2018
Palavras-chave: | Algal bloom; Inland water color; Spectral index; Water quality; Satellite imagery.
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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000501987
Editor: | Academia Brasileira de Ciências
Relação: | 10.1590/0001-3765201720170125
Formato: | text/html
Fonte: | Anais da Academia Brasileira de Ciências  v.90 n.2 suppl.1 2018
Fonte: | info:eu-repo/semantics/openAccess