@InProceedings{ZallesHanPotLimAda:2019:MuExIn,
               author = "Zalles, Viviana and Hansen, Matthew and Potapov, Peter and Lima, 
                         Andr{\'e} and Adami, Marcos",
          affiliation = "{University of Maryland} and {University of Maryland} and 
                         {University of Maryland} and {University of Maryland} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Multi-decadal expansion of intensive cropland land use in South 
                         America",
            booktitle = "Abstracts...",
                 year = "2019",
         organization = "AGU Fall Meeting",
             abstract = "The agricultural sector plays an enormous role in global financial 
                         markets, economic development, natural resource management, and 
                         human health. The South American continent is a key player within 
                         this sector it is one of the breadbaskets of the world, producing 
                         a significant portion of globally traded soybean, corn, sugarcane, 
                         and other crops. Crop expansion is enabled due to the vast areas 
                         of natural land cover that have been and continue to be converted 
                         to agricultural land uses. The appropriation of natural land cover 
                         constitutes a challenge, given the ecosystem services they provide 
                         concerning climate change mitigation, hydrology, and biodiversity. 
                         Despite the evident need for detailed information tracking the 
                         expansion of agricultural land uses in South America and its 
                         impact on natural land covers, such data are still not available 
                         at an annual scale at the continental level. Here, we seek to fill 
                         this gap by using freely available Landsat data to maps and 
                         estimate area of crop expansion from 1985 forward. By using 
                         established remote sensing methods and best practices for area 
                         estimation using probability-based sampling methods, we are able 
                         to provide unbiased estimates of cropland expansion. 
                         Quantification of this dynamics is indispensable for a better 
                         understanding of drivers and consequences of these land cover and 
                         land use changes.",
  conference-location = "San Francisco, CA",
      conference-year = "09-13 dec.",
             language = "en",
           targetfile = "zalles_multi.pdf",
        urlaccessdate = "24 abr. 2024"
}