@InProceedings{MarianoMore:2015:AvDeSa,
               author = "Mariano, Denis Araujo and Moreira, Mauricio Alves",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o do desempenho de safras de 
                         cana-de-a{\c{c}}{\'u}car e sua rela{\c{c}}{\~a}o com a umidade 
                         do solo utilizando dados MODIS e TRMM-TMI",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2317--2324",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The sugarcane production is the main agricultural activity in the 
                         S{\~a}o Paulo state, moreover, it is currently expanding in 
                         acreage at high rates. However, this does not mean always an 
                         increasing in the yield due to the climate negative factors that 
                         might strike such activity sometimes. Drought is for sure, the 
                         main nature hazard responsible for decreasing the yields in 
                         agriculture. The season of 2013/2014 is being remarkably one of 
                         the most affected in S{\~a}o Paulo since the last decades. 
                         Measuring the impacts of these phenomena is a daunting task to be 
                         carried out by traditional methods, so, Remote Sensing gives 
                         powerful techniques and data for doing so. In this work, we used 
                         MODIS reflectance and TRMM-TMI soil moisture data for assessing 
                         the sugarcane production performance in S{\~a}o Paulo state from 
                         2003 to 2014. As results, we found that according to the proposed 
                         methodology, which is based upon EVI data derived from MODIS data, 
                         the 2013/2014 season was astoundingly affected and the following 
                         tends to be seriously stricken as well. The spatial resolution of 
                         the TMI data is the main constraint for performing a good 
                         analysis, even though, is a good source for assessing the water 
                         availability over large areas allowing us to detect trends and 
                         depict scenarios regarding this variable. In short, the EVI 
                         accumulated for each season might be affected by the soil 
                         moisture, however, because the system is too complex, precise 
                         conclusions are difficult to be made.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "472",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49SC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49SC",
           targetfile = "p0472.pdf",
                 type = "Solos e umidade do solo",
        urlaccessdate = "28 abr. 2024"
}