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@InProceedings{LuizSanTraEbeFor:2015:DiAgÁr,
               author = "Luiz, Alfredo Jos{\'e} Barreto and Sanches, Ieda Del Arco and 
                         Trabaquini, Kleber and Eberhardt, Isaque Daniel Rocha and 
                         Formaggio, Ant{\^o}nio Roberto",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Din{\^a}mica agr{\'{\i}}cola em {\'a}rea de 
                         sobreposi{\c{c}}{\~a}o de {\'o}rbitas adjacentes dos 
                         sat{\'e}lites Landsat",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1308--1315",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In this study, the tracking of different types of agricultural 
                         land use was assessed over time using the overlap regions of 
                         adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II 
                         scenes 219 e 220/75 were acquired between July and October 2014. 
                         In the same period, 55 georeferenced sites were visited monthly, 
                         to acquire information about their use and to photograph them. The 
                         study covered an area of 100 km long by 4 km wide along a highway 
                         in the mesoregion of Campinas, state of S{\~a}o Paulo, Brazil. 
                         The main agricultural crops in the state were present in this 
                         area, such as sugarcane, maize, soybean, eucalyptus, pastures, 
                         citrus; and over a dozen land uses were found. Several selected 
                         areas are irrigated by center pivot systems. In this short period 
                         of time, the importance of monitoring simultaneously three axes, 
                         namely: the time, space and land use, proved essential, since 
                         there is a high potential for classification confusion. 
                         Interesting things were observed, such as the phenomenon of 
                         green-up of rubber tree fields; and the similar appearance of 
                         potatoes, beans and wheat plots in images, even though they do not 
                         look like in the field. Preliminary analysis, both visual and 
                         quantitative, confirm the assumption that it is not possible to 
                         correctly classify agricultural uses in OLI images based only on a 
                         single date and without substantial knowledge of the systems in 
                         use, and the farming calendar of the study region.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "239",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47UP",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47UP",
           targetfile = "p0239.pdf",
                 type = "Produ{\c{c}}{\~a}o e previs{\~a}o agr{\'{\i}}cola",
        urlaccessdate = "03 dez. 2020"
}


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