@InProceedings{PullizaRoSoNaSaPoGa:2011:UtTéSe,
               author = "Pulliza, Damaris Torres and Rodrigues, Roney Eduardo and Souza, 
                         Ana Luiza Mesquita de and Nardoto, Jo{\~a}o Pinto and Santos, 
                         Wanildo Menezes D'Alva Pires dos and Portalette, Leonardo Carloto 
                         and Galvan, Lucas",
          affiliation = "{Sinoptica Sistemas de Informa{\c{c}}{\~a}o Geogr{\'a}fica - 
                         ES} and {Sinoptica Sistemas de Informa{\c{c}}{\~a}o 
                         Geogr{\'a}fica - ES} and {Sinoptica Sistemas de 
                         Informa{\c{c}}{\~a}o Geogr{\'a}fica - ES} and {Sinoptica 
                         Sistemas de Informa{\c{c}}{\~a}o Geogr{\'a}fica - ES} and 
                         {Sinoptica Sistemas de Informa{\c{c}}{\~a}o Geogr{\'a}fica - 
                         ES} and {Federa{\c{c}}{\~a}o da Agricultura e Pecu{\'a}ria do 
                         Mato Grosso do Sul – FAMASUL} and {Federa{\c{c}}{\~a}o da 
                         Agricultura e Pecu{\'a}ria do Mato Grosso do Sul – FAMASUL}",
                title = "Utiliza{\c{c}}{\~a}o de t{\'e}cnicas de sensoriamento remoto 
                         para o mapeamento de {\'a}rea plantada com as principais culturas 
                         na safra 2009/2010 no estado de Mato Grosso do Sul",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "124--131",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, crop monitoring, crop mapping, land-use, 
                         land-cover, agriculture, agropecu{\'a}ria, uso e cobertura do 
                         solo, mapeamento agr{\'{\i}}cola, monitoramento 
                         agr{\'{\i}}cola.",
             abstract = "Agriculture (crops, forestry and livestock) plays an important 
                         role in the economy of Mato Grosso do Sul (MS) state, in 
                         mid-western Brazil (357.124,96 km²). An accurate assessment of 
                         crop area coverage and spatial distribution is the basis to many 
                         decision-making policies affecting the logistics of crop 
                         production and food supply management. From crop health, 
                         harvesting, and storage to food distribution, and road and railway 
                         networks, the knowledge of the location of each component is 
                         essential for a synoptic understanding of the process. 
                         Historically the Brazilian Geography and Statistics Institute 
                         (IBGE) has provided summaries of area occupied by crop per city, 
                         but makes no reference as to how such areas are distributed within 
                         each city limits. Remote Sensing techniques have proved to be very 
                         effective in mapping large crop areas, at low and medium scale. 
                         This work assessed the individual and combined capabilities of 
                         medium to high spatial resolution remotely sensed imagery to 
                         accurately map and quantify crop areas. Also, we evaluated the 
                         effectiveness of a freely distributed GIS software to train 
                         personnel of the local Federation of Agriculture. Supervised 
                         Classification techniques were applied to multi-temporal MODIS 
                         imagery, multi-spectral TM imagery, and topographic data. The 
                         resulting classified image (1:1.250.000 scale) was then manually 
                         edited over LISS-III image to increase spatial definition, 
                         resulting in a 1:100.000 scale map. Final results were validated 
                         with field data and interviews with local players such as farmers' 
                         associations, IBGE, and agriculture-related professionals. Future 
                         efforts should go towards monitoring in near-real time seeding and 
                         harvesting dynamics.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3UC8S",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3UC8S",
           targetfile = "p1281.pdf",
                 type = "Agricultura",
        urlaccessdate = "03 maio 2024"
}