author = "Amore, Diogo de Jesus and Santos, Jo{\~a}o Felipe Cardoso dos and 
                         Jorge, Daniel Schaffer Ferreira and Kampel, Milton",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapeamento da dispers{\~a}o da pluma do Rio Amazonas no Oceano 
                         Atl{\^a}ntico por t{\'e}cnicas de Sensoriamento Remoto",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3924--3931",
         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 = "The distribution of optically active constituents (OACs) in the 
                         Amazon River plume is investigated in the Western Tropical North 
                         Atlantic Ocean (WTNA). In situ radiometric data were collected in 
                         the study area for the generation of reference spectra in the 
                         Spectral Angle Mapper (SAM) algorithm via a k-means classification 
                         method. Bio-optical data (absorbance, m-1) were collected for 
                         quantification of phytoplankton, detritus, and chromophoric 
                         dissolved organic matter absorption coefficients. MODIS/Aqua 
                         remote sensing reflectance data at eight band intervals were 
                         acquired and used as test spectra in the SAM algorithm. Ternary 
                         plots allowed the characterization of each k-means-generated class 
                         according to their ubiquitous OACs. An histogram of percentual 
                         coverage was generated to evaluate the area of influence that each 
                         class had over the plume evolution. Out of the six classes 
                         generated via k-means, and classified via SAM, four were 
                         considered mostly relevant. The four classes represented well the 
                         main variability of the plume from the coastline (or river mouth) 
                         to the interior of WTNA. Absorbance data validated the ternary 
                         plot distribution results which indicated that towards the shore 
                         more sediment-laden waters are found, followed by more CDOM 
                         concentration in a mid-distance range, and phytoplankton-dominated 
                         waters at farther distances or under major oceanic currents 
                         regime. The histogram plot is in accordance with low and high flow 
                         periods of the Amazon River showing higher discharge during summer 
                         (around August) and lower discharge during winter (around 
                         February). The SAM algorithm proved useful for the river plume 
                         constituent classification, and further studies are encouraged to 
                         use meteorological data (such as wind vectors and precipitation 
                         data) to better quantify the relationships between the Amazon 
                         River discharge and the plume characteristics.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59867",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM28J",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM28J",
           targetfile = "59867.pdf",
                 type = "Oceanografia e sistemas costeiros",
        urlaccessdate = "28 nov. 2020"