@Article{AdamiRuFrAgSuMe:2012:ReSeTi,
               author = "Adami, Marcos and Rudorff, Bernardo Friedrich Theodor and Freitas, 
                         Ramon Morais and Aguiar, Daniel Alves de and Sugawara, Luciana 
                         Miura and Mello, M{\'a}rcio Pupin de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Remote Sensing Time Series to Evaluate Direct Land Use Change of 
                         Recent Expanded Sugarcane Crop in Brazil",
              journal = "Sustainability",
                 year = "2012",
               volume = "4",
               number = "4",
                pages = "574--585",
                month = "Apr.",
             keywords = "Agriculture expansion, Crop rotation, Global carbon emission, 
                         Land-use change, Landsat images, Luc, Modis, Multi-temporal, 
                         Pasture lands, Remote sensing images, Sugarcane crops, Systematic 
                         sampling, Thematic maps, Web tools, Biofuels, Crops, 
                         Deforestation, Image reconstruction, Maps, Monitoring, 
                         Radiometers, Remote sensing, Time series, Land use, Brazil, 
                         Climates, Deforestation, Fuels, Image Analysis, Land Use, Maps, 
                         Monitoring, Radio Waves, Remote Sensing, Time Series Analysis.",
             abstract = "The use of biofuels to mitigate global carbon emissions is highly 
                         dependent on direct and indirect land use changes (LUC). The 
                         direct LUC (dLUC) can be accurately evaluated using remote sensing 
                         images. In this work we evaluated the dLUC of about 4 million 
                         hectares of sugarcane expanded from 2005 to 2010 in the 
                         South-central region of Brazil. This region has a favorable 
                         climate for rain-fed sugarcane, a great potential for agriculture 
                         expansion without deforestation, and is currently responsible for 
                         almost 90% of Brazilians sugarcane production. An available 
                         thematic map of sugarcane along with MODIS and Landast images, 
                         acquired from 2000 to 2009, were used to evaluate the land use 
                         prior to the conversion to sugarcane. A systematic sampling 
                         procedure was adopted and the land use identification prior to 
                         sugarcane, for each sample, was performed using a web tool 
                         developed to visualize both the MODIS time series and the 
                         multitemporal Landsat images. Considering 2000 as reference year, 
                         it was observed that sugarcane expanded: 69.7% on pasture land; 
                         25.0% on annual crops; 0.6% on forest; while 3.4% was sugarcane 
                         land under crop rotation. The results clearly show that the dLUC 
                         of recent sugarcane expansion has occurred on more than 99% of 
                         either pasture or agriculture land.",
                  doi = "10.3390/su4040574",
                  url = "http://dx.doi.org/10.3390/su4040574",
                 issn = "2071-1050",
                label = "lattes: 1958394372634693 4 AdamiRuFrAgSuMe:2012:ReSeTi",
             language = "en",
           targetfile = "Adami_et_al_2012.pdf",
        urlaccessdate = "11 maio 2024"
}