@InProceedings{SantosArAnPaSoJú:2017:AnPrDe,
               author = "Santos, Claudinei Oliveira and Arantes, Arielle Elias and Andrade, 
                         Ana Carolina do Couto and Parente, Leandro Leal and Souza, 
                         Guilherme Ferreira Arantes and J{\'u}nior, Laerte Guimar{\~a}es 
                         Ferreira",
                title = "An{\'a}lise da produtividade e degrada{\c{c}}{\~a}o das 
                         pastagens do Brasil por meio de s{\'e}ries temporais MODIS GPP",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5327--5333",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Pasturelands constitute the dominant land use form in Brazil, 
                         encompassing about 170 Mha of land and feeding the second largest 
                         commercial cattle livestock in the world. Therefore, pastures 
                         simultaneously represent a large source of greenhouse gases (GHG) 
                         and a major mitigation potential. As a significant part of these 
                         emissions are related to degradation processes, assessing how the 
                         vegetative vigor of these pastures vary along time is of great 
                         importance in support of public policies targeting a more 
                         productive and environmentally sustainable cattle ranching 
                         practice in the country. Within this context, in this study we 
                         evaluated, based on MODIS GPP values (MOD17A2H), the productivity 
                         trends of the Brazilian pasturelands. Our results suggest that 
                         approximately 9% of the pasture areas in Brazil are undergoing 
                         biomass loss, while circa of 32% present a positive trend. In 
                         spite the fact that these results need to be considered on a very 
                         preliminary basis, due to the many assumptions and errors 
                         involved, the model presented in this work should be seen as a 
                         feasible alternative for mapping the productivity and degradation 
                         trends of pastures in Brazil.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59416",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4M2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4M2",
           targetfile = "59416.pdf",
                 type = "Agricultura e pecu{\'a}ria",
        urlaccessdate = "27 abr. 2024"
}