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@InProceedings{BarbosaNFCCLSA:2015:BrInWa,
               author = "Barbosa, Claudio Clemente Faria and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes and Ferreira, Renato Martins Passos and 
                         Carvalho, Lino Augusto Sander de and Cairo, Carolline Tressmann 
                         and Lopes, F. and Stech, Jos{\'e} Luiz and Alcantara, Enner",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal do Cear{\'a} (UFC)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual Paulista (UNESP)}",
                title = "Brazilian inland water bio-optical dataset to support carbon 
                         budget studies in reservoirs as well as anthropogenic impacts in 
                         amazon floodplain lakes",
            booktitle = "Proceedings...",
                 year = "2015",
         organization = "International Symposium on Remote Sensing of Environment, 36.",
             keywords = "Brazilian inland waters, Amazon Floodplain Lake, bio-optical 
                         dataset, Inherent and Apparent optical measurements, Diffuse 
                         attenuation coefficient.",
             abstract = "This work presents ongoing efforts and preliminary results for 
                         building a dataset that represents the first and most 
                         comprehensive bio-optical information available on Brazilian 
                         inland waters to support the development of remote sensing 
                         algorithms for monitoring aquatic systems. From 2012 to 2014 
                         optical and limnological data was gathered along thirteen field 
                         campaigns in five Brazilian reservoirs, in an irrigation and 
                         domestic water supply reservoir located in semi-arid northeast of 
                         the country and in Amazonian floodplain lakes, thus covering the 
                         diversity of Brazilian inland waters. At each site 20 stations, on 
                         average, were sampled to acquire profiles of the following optical 
                         variables: absorption, attenuation, scattering, and backscattering 
                         coefficients and radiances/irradiances spectra above and in-water. 
                         Alongside these measurements, water samples were collected for 
                         determining concentrations of chlorophyll-a (Chl-a), Total 
                         Suspended Solid (TSS), Total Dissolved Carbon (TDC) and its 
                         organic/inorganic fractions, CDOM absorption, phytoplankton 
                         specific absorption [aph*] and Non-Algal Particles absorption 
                         [aNAP*]. Preliminary results show that Chl-a concentrations ranged 
                         from 0.6 to 243g/L in reservoirs and 0.90 to 92g/L in Amazonian 
                         lakes, while TSS concentrations ranged from 0.3 to 31mg/L in 
                         reservoirs and 0.5 to 162mg/L in Amazonian lakes. In situ beam 
                         attenuation coefficients ranged from 1.4 to 16m-1 in reservoirs 
                         and 12.5 to 38m-1 in Amazonian lakes, while diffuse attenuation 
                         coefficients of downwelling irradiance over the Photosynthetically 
                         Active Radiation (Kd(PAR)) extended from 0.35 to 4.5m-1 in 
                         reservoirs and 1.69 to 13.30m-1 in Amazonian lakes. Our research 
                         group is building this dataset anticipating future demands for 
                         algorithm validation regarding OLI/Landsat8 data and ESA Sentinel 
                         missions to be launched as of 2015.",
  conference-location = "Berlin, Germany",
      conference-year = "11-15 may",
             language = "en",
        urlaccessdate = "24 nov. 2020"
}


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