@InProceedings{WernerRTBACLMEF:2023:TeCoMu,
               author = "Werner, Jo{\~a}o P. S. and Reis, Aliny A. dos and Toro, Ana P. S. 
                         G. D. and Bueno, In{\'a}cio T. and Antunes, Jo{\~a}o F. G. and 
                         Coutinho, Alexandre C. and Lamparelli, Rubens A. C. and 
                         Magalh{\~a}es, Paulo S. G. and Esquerdo, J{\'u}lio C. D. M. and 
                         Figueiredo, Gleyce K. D. A.",
          affiliation = "{Universidade Estadual de Campinas (UNICAMP)} and {Universidade 
                         Estadual de Campinas (UNICAMP)} and {Universidade Estadual de 
                         Campinas (UNICAMP)} and {Universidade Estadual de Campinas 
                         (UNICAMP)} and {Embrapa Agricultura Digital} and {Embrapa 
                         Agricultura Digital} and {Universidade Estadual de Campinas 
                         (UNICAMP)} and {Universidade Estadual de Campinas (UNICAMP)} and 
                         {Embrapa Agricultura Digital} and {Universidade Estadual de 
                         Campinas (UNICAMP)}",
                title = "Temporal comparison of multiple sensors for monitoring paddock 
                         management in an integrated crop-livestock system",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155731",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "managed pasture, temporal profile, MODIS, Sentinel-2, 
                         PlanetScope.",
             abstract = "Analysing remote sensors' response for monitoring intensively 
                         managed areas, such as integrated crop-livestock systems (ICLS) is 
                         still necessary. Each sensor offers a level of detail for land use 
                         monitoring. Thus, the objective of this study was to assess and 
                         compare the temporal profile of the Normalised Difference 
                         Vegetation Index (NDVI) time series from different sensors for 
                         paddock monitoring in intensively managed pasture fields. We used 
                         the NDVI time series from three remote sensors (PlanetScope/CCD, 
                         Sentinel-2/MSI and Terra and Aqua/MODIS). The results showed that 
                         the NDVI temporal profiles of all sensors were able to capture 
                         variations in the phenological stages of pasture development, as 
                         well as the paddock management operations in our study area.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/495D6T8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495D6T8",
           targetfile = "155731.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "09 maio 2024"
}