@InProceedings{ArvorDubrMeir:2009:AnInAg,
               author = "Arvor, Damien and Dubreuil, Vincent and Meirelles, Margareth 
                         Sim{\~o}es Penello",
          affiliation = "{Universit{\'e} Rennes 2 - COSTEL UMR 6554 LETG} and 
                         {Universit{\'e} Rennes 2 - COSTEL UMR 6554 LETG} and {Embrapa 
                         Solos - Universidade Estadual de Rio de Janeiro}",
                title = "Analise da intensifica{\c{c}}{\~a}o da agricultura no Mato 
                         Grosso {\`a} partir de dados TRMM 3B42 e de series temporais 
                         MODIS/EVI",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "91--98",
         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 = "MODIS, TRMM, agricultural intensification, Mato Grosso, soja.",
             abstract = "The Brazilian state of Mato Grosso (southern Amazonia) is one of 
                         the main national producer of agricultural products such as 
                         soybean, cotton and corn. After having based its development on 
                         the expansion of arable lands through deforestation for thrity 
                         years, the agricultural sector is now increasing its productive 
                         potential through the adoption of new agricultural management 
                         practices such as double cropping systems. Remote sensing 
                         tehcniques such as classification of MODIS/TERRA EVI times series 
                         are efficient tools for monitoring this phenomena. It appears that 
                         double cropping systems with wo comercial crops (soybean and corn 
                         or soybean and cotton) improved from 6% to 26% of the total 
                         cultivated area in Mato Grosso between 2000-2001 and 2006-2007 
                         harvests. However, when studying at a county level, those rates 
                         vary from 1 to more than 50%, attesting that it exists a strong 
                         spatial variability concerning the application of this 
                         agricultural management practice. It is argued that this rate is 
                         in part drove by the importance of total agricultural areas in a 
                         place and by pluviometric conditions. This hypothesis is confirmed 
                         by crossing MODIS data with rainfall data. These data are issue 
                         from the TRMM 3B42 products, which are computed into parameters 
                         such as duration, onset, end of the rain season and total annual 
                         rainfalls. Those parameters are found to explain 42% of the 
                         spatial variability of the application of double cropping systems 
                         in Mato Grosso.",
  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@80/2008/11.17.17.41",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.17.41",
           targetfile = "91-98.pdf",
                 type = "Agricultura",
        urlaccessdate = "15 jun. 2024"
}