@InProceedings{WernerEsquOliv:2019:UsMiDa,
               author = "Werner, Jo{\~a}o Paulo Sampaio and Esquerdo, J{\'u}lio 
                         C{\'e}sar Dalla Mora and Oliveira, Stanley Robson de Medeiros",
          affiliation = "{Universidade Estadual de Campinas (UNICAMP)} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)}",
                title = "Uso da minera{\c{c}}{\~a}o de dados na classifica{\c{c}}{\~a}o 
                         do algod{\~a}o utilizando s{\'e}ries temporais de imagens 
                         MODIS",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "455--458",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "{\'{\i}}ndice de vegeta{\c{c}}{\~a}o, m{\'e}tricas 
                         fenol{\'o}gicas, {\'a}rvore de decis{\~a}o, TIMESAT, vegetation 
                         index, phenological metrics, decision tree, TIMESAT.",
             abstract = "O objetivo do trabalho foi avaliar o uso de t{\'e}cnicas de 
                         minera{\c{c}}{\~a}o de dados extra{\'{\i}}dos de s{\'e}ries 
                         temporais de {\'{\i}}ndices vegetativos do sensor MODIS para a 
                         classifica{\c{c}}{\~a}o de padr{\~o}es temporais do cultivo do 
                         algod{\~a}o herb{\'a}ceo. A partir da s{\'e}rie temporal de 
                         imagens, foram gerados perfis espectro-temporais e 
                         extra{\'{\i}}das 11 m{\'e}tricas fenol{\'o}gicas na forma de 
                         imagens de decomposi{\c{c}}{\~a}o. Com as 
                         informa{\c{c}}{\~o}es das m{\'e}tricas fenol{\'o}gicas e dados 
                         de refer{\^e}ncia terrestre, t{\'e}cnicas de 
                         minera{\c{c}}{\~a}o de dados foram aplicadas para gerar regras 
                         de classifica{\c{c}}{\~a}o que, posteriormente, foram utilizadas 
                         para separar os padr{\~o}es com cultivo de algod{\~a}o de outras 
                         coberturas vegetais. Os resultados encontrados demonstraram a 
                         capacidade dos modelos para discriminar padr{\~o}es de 
                         algod{\~a}o de outras coberturas. ABSTRACT: The objective of this 
                         work was to evaluate the use of data mining techniques extracted 
                         from time series of vegetation indexes from MODIS sensor in order 
                         to classify temporal patterns extracted from herbaceous cotton 
                         crops. From the set of time series images, spectral-temporal 
                         profiles were generated and 11 phenological metrics were extracted 
                         as decomposition images. Using the information from the 
                         phenological metrics and land reference data, data mining 
                         techniques were applied to generate classification rules that were 
                         later used to separate the the cotton patterns from other 
                         vegetation covers. The results showed the ability of the models to 
                         discriminate cotton patterns from other vegetation covers, such as 
                         pasturelands, forests and other types of crops.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TUPAJ5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUPAJ5",
           targetfile = "97270.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "08 maio 2024"
}