@InProceedings{MelloAtzbForm:2014:NeReTi,
               author = "Mello, Marcio Pupin and Atzberger, Clement and Formaggio, Antonio 
                         Roberto",
          affiliation = "Boeing Company, Boeing Research and Technology - Brazil 
                         (BRandT-Brazil), Estrada Dr Altino Bondesan 500 (Parque 
                         Tecnologico)Sao Jose dos Campos SP, Brazil and University of 
                         Natural Resources and Life Sciences (BOKU), Institute of 
                         Surveying, Remote Sensing and Land Information (IVFL), Peter 
                         Jordan Stra{\~A}xe 82Vienna, Austria and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Near real time yield estimation for sugarcane in Brazil combining 
                         remote sensing and official statistical data",
                 year = "2014",
                pages = "5064--5067",
         organization = "IEEE International Geoscience and Remote Sensing Symposium, 
                         (IGARSS).",
            publisher = "Institute of Electrical and Electronics Engineers Inc.",
             abstract = "Besides energy concerns, the cultivation of sugarcane in Brazil 
                         plays an important role in the development of its agriculture, 
                         economy, and environment. However, there is no research on a broad 
                         operational yield monitoring system for sugarcane in Brazil based 
                         on remote sensing technologies. This paper aims at proposing a 
                         method to fill this gap. Five municipalities located in the west 
                         corner of S{\~a}o Paulo State, Brazil, were used to run and test 
                         a new method, which estimates the yield based on a combination of 
                         remote sensing and official historical data without using crop 
                         masks. Using data from 2003 to 2012, results stated that sugarcane 
                         yield estimates from January to March using remote sensing data 
                         tends to match strongly with the official yield, with the benefit 
                         of being known before the harvest season. Although we only tested 
                         five municipalities, we do expect that the proposed method might 
                         be applicable to wider regions as well as to other crops.",
  conference-location = "Quebec City",
      conference-year = "July 13-18, 2014.",
                  doi = "10.1109/IGARSS.2014.6947635",
                  url = "http://dx.doi.org/10.1109/IGARSS.2014.6947635",
                 isbn = "9781479957750",
                label = "scopus 2015-01 MelloAtzbForm:2014:NeReTi",
             language = "en",
           targetfile = "06947635.pdf",
        urlaccessdate = "19 abr. 2024"
}