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@InProceedings{BertaniAndeAragWagn:2017:ReSeSo,
               author = "Bertani, Gabriel and Anderson, Liana Oighenstein and Arag{\~a}o, 
                         Luiz Eduardo Oliveira e Cruz de and Wagner, Fabien Hubert",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Remote sensing of solar-induced chlorophyll fluorescence for 
                         describing photosynthesis seasonality in the Amazon forest",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2516--2523",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Recently, a new way of studying photosynthesis by remote sensing 
                         have been discovered, through the solar induced CHolorophyll 
                         Fluorescence (ChlF). In this paper, we review the main concepts 
                         and mechanisms used to retrieve ChlF by remote sensing. This 
                         includes space-based approaches, whose ChlF retrieval is more 
                         difficult to be achieved mainly due to atmospheric and sensors 
                         limitation issues, that can be mitigated with the launch of the 
                         FLEX mission. In addition, a set of ChlF data from the Gome-2 
                         sensor and incident radiation reanalysis data from GLDAS, spanning 
                         the 2007-2015 period, were used to analyze the relationship 
                         between photosynthesis and radiation seasonality in the Amazon 
                         forest by decomposing the original data through the BFAST 
                         algorithm. The maximum incident radiation is observed from August 
                         to October in most part of the Amazon forest. On the other hand, 
                         the maximum photosynthesis activity occurs mainly from September 
                         to December. The photosynthetic activity increased after incident 
                         radiation raised, with a time-lag varying from one to three 
                         months, potentially related to the production of new leaves after 
                         the vegetation perceived the increase in the radiation signal. 
                         Photosynthesis seasonality thus varies spatially and seems to have 
                         a strong relation with radiation signals in the Amazon forest.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59264",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQNH",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSLQNH",
           targetfile = "59264.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "24 nov. 2020"
}


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