@InProceedings{AlvesCouCamAmoRot:2009:CaTeGe,
               author = "Alves, Marcelo de Carvalho and Couto, Eduardo Guimar{\~a}es and 
                         Campelo J{\'u}nior, Jos{\'e} Holanda and Amorim, Ricardo Santos 
                         Silva and Rotili, Dionny Rafaelly",
          affiliation = "{Universidade Federal de Mato Grosso - UFMT} and {Universidade 
                         Federal de Mato Grosso - UFMT} and {Universidade Federal de Mato 
                         Grosso - UFMT} and {Universidade Federal de Mato Grosso - UFMT} 
                         and {Universidade Federal de Mato Grosso - UFMT}",
                title = "Cartografia tem{\'a}tica e geovisualiza{\c{c}}{\~a}o da 
                         produ{\c{c}}{\~a}o de soja do estado de Mato Grosso com 
                         cen{\'a}rios de previs{\~a}o de safra",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "31--39",
         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 = "spatial analysis, soybean, harvest forecast system, an{\'a}lise 
                         espacial, soja, previs{\~a}o de safra.",
             abstract = "The objective of this study was to develop a methodology to 
                         characterize the intensity of soybean crop production, based on 
                         the association of data of production obtained in municipal level 
                         and image of orbital remote sensing, as well as to generate a 
                         model of soybean production forecasting in function of cultivated 
                         area in Mato Grosso state. The data of soybean production and 
                         cultivated area is related to from 1990 to 2007 and was obtained 
                         by the Brazilian Institute of Geography and Statistics (IBGE). The 
                         database of vegetation land cover is related to the year 2000 and 
                         was obtained by the sensor of vegetation on board of SPOT-4 
                         satellite, in spatial resolution of 961.54 m. Techniques of 
                         thematic chartography and geovisualization allowed the 
                         characterization of the main soybean-producing regions of Mato 
                         Grosso state. There was a satisfactory implementation of the 
                         methodology by using spatial analysis applied to both cadastral 
                         and remote sensing information to characterize the intensity of 
                         soybean production in cultivated and managed areas. Linear and 
                         nonlinear regression models presented high coefficients of 
                         determination in the estimation of soybean production in function 
                         of cultivated areas of the whole state of Mato Grosso and the main 
                         soybean municipal districts.",
  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@80/2008/11.14.22.13",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.14.22.13",
           targetfile = "31-39.pdf",
                 type = "Agricultura",
        urlaccessdate = "04 maio 2024"
}