author = "Sartori, Lauriana R{\'u}bio and Imai, Nilton Nobuhiro and Mura, 
                         Jos{\'e} Claudio and Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes 
                         and Silva, Thiago Sanna Freire",
          affiliation = "Sao Paulo State University - UNESP, Graduate Program in 
                         Cartographic Sciences, Brazi and Sao Paulo State University - 
                         UNESP, Graduate Program in Cartographic Sciences, Brazil and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and University of 
                         Victoria, Department of Geography, Australia",
                title = "Investigations on the full polarimetric PALSAR data to 
                         discriminate macrophytes species in the Amazon floodplain 
            booktitle = "Proceedings...",
                 year = "2010",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
            publisher = "IEEE",
              address = "Piscataway",
             keywords = "Amazon wetland, Macrophytes, PALSAR data, Radar polarimetry, 
                         Target decomposition, Ellipsometry, Geology, Polarographic 
                         analysis, Radar, Remote sensing, Wetlands, Polarimeters.",
             abstract = "The purpose of this work is to evaluate the capacity of full 
                         polarimetric L band data to discriminate macrophyte species in 
                         Amazon wetland. Fieldwork was carried out almost simultaneously to 
                         the acquisition of the full polarimetric PALSAR data. Coherent and 
                         incoherent attributes were extracted from the image, and 
                         macrophyte morphological variables were measured on the ground. 
                         The image attributes and the macrophyte variables were compared in 
                         order to evaluate their application for discriminating macrophytes 
                         species. The findings suggest that polarimetric information could 
                         be adopted to discriminate plant species based on morphology, and 
                         that estimation of plant biomass and productivity could be 
                         improved by using the polarimetric information.",
  conference-location = "Honolulu",
      conference-year = "25 - 30 July 2010",
                  doi = "10.1109/IGARSS.2010.5652492",
                  url = "http://dx.doi.org/10.1109/IGARSS.2010.5652492",
                 isbn = "9781424495665",
             language = "en",
         organisation = "The Institute of Electrical and Electronics Engineers; Geoscience 
                         and Remote Sensing Society",
           targetfile = "mura.pdf",
        urlaccessdate = "17 jan. 2021"