@Article{RampazoPicoTeixCava:2021:WaCoMo,
               author = "Rampazo, N{\'u}ria Aparecida Miatto and Picoli, Michelle Cristina 
                         Ara{\'u}jo and Teixeira, Ant{\^o}nio Heriberto de Castro and 
                         Cavaliero, Carla Kazue Nakao",
          affiliation = "{Universidade Estadual de Campinas (UNICAMP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         de Sergipe (UFSE)} and {Universidade Estadual de Campinas 
                         (UNICAMP)}",
                title = "Water Consumption Modeling by Coupling MODIS Images and 
                         Agrometeorological Data for Sugarcane Crops",
              journal = "Sugar Tech",
                 year = "2021",
               volume = "23",
               number = "3",
                pages = "524--535",
                month = "June",
             keywords = "Agrometeorology, Evapotranspiration, Geosciences, Sugarcane, Water 
                         resources.",
             abstract = "Actual evapotranspiration (ETa) is the main component of crop 
                         water consumption. Sugarcane requires large volumes of water 
                         during its development and may induce changes in local and 
                         regional climate. Field measurements, besides their high cost, are 
                         insufficient to understand the ETa spatial variabilitya gap that 
                         can be filled with remote sensing techniques, due to the spatial 
                         nature of satellite imaging and its low cost, which allows the 
                         construction of temporal, spatial series of estimates of energy 
                         and water balances components. The Simple Algorithm For Retrieving 
                         Evapotranspiration (SAFER) model was applied to sugarcane crop in 
                         the mesoregion of Bauru, S{\~a}o Paulo, Brazil. Surface 
                         agrometeorological data were used as inputs along with parameters 
                         obtained by remote sensing from January 2015 to June 2016. The 
                         highest values of daily ETa (> 5.0 mm d\−1) were observed 
                         in the rainy season, during the sugarcane growing stage, 
                         indicating the phase of higher water demand, and the lowest values 
                         (< 3.0 mm d\−1) were verified in the dry season, during the 
                         stages of emergence and maturation. Sugarcane crop was responsible 
                         for the consumption of 52% to 62% of the volume of precipitated 
                         water in the Bauru meso region. The results of the SAFER model 
                         using meteorological data from remote sensing (SAFER-RS) presented 
                         d1 = 0.72 in relation to results using surface weather data from 
                         the Brazilian National Institute of Meteorology-INMET 
                         (SAFER-INMET). The errors in the estimation of ETa by SAFER-RS may 
                         be due to errors in the meteorological data from the remote 
                         sensing used.",
                  doi = "10.1007/s12355-020-00919-7",
                  url = "http://dx.doi.org/10.1007/s12355-020-00919-7",
                 issn = "0972-1525",
             language = "en",
           targetfile = "rampazo_water.pdf",
        urlaccessdate = "09 maio 2024"
}