@InProceedings{FerreiraGaRoArImSa:2009:EsDiEs,
               author = "Ferreira, Monique Sacardo and Galo, Maria de Lourdes Bueno 
                         Trindade and Rotta, Luiz Henrique da Silva and Ara{\'u}jo, Renata 
                         Ribeiro de and Imai, Nilton Nobuhiro and Samizava, Tiago Matsuo",
          affiliation = "UNESP/SP and UNESP/SP and UNESP/SP and UNESP/SP and UNESP/SP and 
                         UNESP/SP",
                title = "Um estudo da distribui{\c{c}}{\~a}o espacial de pigmentos totais 
                         na plan{\'{\i}}cie de inunda{\c{c}}{\~a}o do Alto Rio 
                         Paran{\'a} a partir de imagens multiespectrais",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5211--5218",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "CBERS image, remote sensing, water quality, regression models, 
                         sensoriamento remoto, qualidade da {\'a}gua, modelos de 
                         regress{\~a}o.",
             abstract = "This work intended to correlate measurements of total pigments 
                         concentration in the Upper Paran{\'a} River floodplain with 
                         Remote Sensing data, so as to infer the spatial distribution of 
                         this limnological variable in the study area. To estimate total 
                         pigments concentration was made a field survey between July 19th 
                         and 22th, 2008, nearest possible of the take of multispectral 
                         images TM/Landsat and CCD/Cbers 2B, which were processed to 
                         posterior correlation with total pigments data. The TM/Landsat 
                         scene was georeferenced and radiometrically corrected (atmosphere 
                         correction and radiometric calibration), while the CCD/Cbers 2B 
                         image was only georeferenced. At the points where was made the 
                         water sampling, the pixels attribute values were extracted on the 
                         images and these data were submitted to correlation analysis with 
                         the limnological variable in question. The spectral interval of 
                         red - visible (band 3) had the highest correlation coefficient 
                         with total pigments, as TM/Landsat data (r=0.832) as CCD/Cbers 2B 
                         (r=0.825). These correlated data were submitted to regression 
                         analysis and prediction models of total pigments concentration 
                         were generated. The consistency of models was evaluated based in 
                         statistical tests and applied to images for the inference of the 
                         spatial distribution of total pigments in the study area. The high 
                         correlation obtained and the performance in the statistical tests 
                         show two sensor systems data have potential in total pigments 
                         inference.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.22.21",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.21",
           targetfile = "5211-5218.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "20 maio 2024"
}