@Article{AdamiMellAguiSouz:2012:WePlDe,
               author = "Adami, Marcos and Mello, M{\'a}rcio Pupin de and Aguiar, Daniel 
                         Alves de and Souza, Arley Ferreira 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)}",
                title = "A Web Platform Development to Perform Thematic Accuracy Assessment 
                         of Sugarcane Mapping in South-Central Brazil",
              journal = "Remote Sensing",
                 year = "2012",
               volume = "4",
               number = "10",
                pages = "3201--3214",
             keywords = "Accuracy assessment, Area estimation, Canasat project, Data sets, 
                         Field campaign, Flex-fuel, Platform development, Reference data, 
                         Remote sensing images, Stratified random sampling, Sugarcane 
                         cultivation, Thematic mapping, Classification (of information), 
                         Ethanol, Image reconstruction, Image resolution, Remote sensing, 
                         Cultivation.",
             abstract = "The ability to monitor sugarcane expansion in Brazil, the worlds 
                         largest producer and exporter of sugar and second largest producer 
                         of ethanol, is important due to its agricultural, economic, 
                         strategic and environmental relevance. With the advent of flex 
                         fuel cars in 2003 the sugarcane area almost doubled over the last 
                         decade in the South-Central region of Brazil. Using remote sensing 
                         images, the sugarcane cultivation area was annually monitored and 
                         mapped between 2003 and 2012, a period of major sugarcane 
                         expansion. The objective of this work was to assess the thematic 
                         mapping accuracy of sugarcane, in the crop year 2010/2011, with 
                         the novel approach of developing a web platform that integrates 
                         different spatial and temporal image resolutions to assist 
                         interpreters in classifying a large number of points selected by 
                         stratified random sampling. A field campaign confirmed the 
                         suitability of the web platform to generate the reference data 
                         set. An overall accuracy of 98% with an area estimation error of 
                         \−0.5% was achieved for the sugarcane map of 2010/11. The 
                         accuracy assessment indicated that the map is of excellent 
                         quality, offering very accurate sugarcane area estimation for the 
                         purpose of agricultural statistics. Moreover, the web platform 
                         showed to be very effective in the construction of the reference 
                         dataset.",
                  doi = "10.3390/rs4103201",
                  url = "http://dx.doi.org/10.3390/rs4103201",
                 issn = "2072-4292",
                label = "lattes: 1958394372634693 4 AdamiAdMeAgRuSo:2012:WePlDe",
             language = "en",
                  url = "http://www.mdpi.com/2072-4292/4/10/3201",
        urlaccessdate = "30 abr. 2024"
}