@Article{TitoDCTASSS:2020:AsEvEs,
               author = "Tito, Tiago Marques and Delgado, Rafael Coll and Carvalho, Daniel 
                         Costa de and Teodoro, Paulo Eduardo and Almeida, Catherine Torres 
                         de and Silva J{\'u}nior, Carlos Antonio da and Santos, Erleyvaldo 
                         Bispo dos and Silva J{\'u}nior, Luiz Augusto Siciliano da",
          affiliation = "{Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Universidade Federal de Mato Grosso do Sul (UFMS)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade do 
                         Estado de Mato Grosso (UNEMAT)} and {Universidade Federal Rural do 
                         Rio de Janeiro (UFRRJ)} and {Universidade Federal Rural do Rio de 
                         Janeiro (UFRRJ)}",
                title = "Assessment of evapotranspiration estimates based on surface and 
                         satellite data and its relationship with El Niño–Southern 
                         Oscillation in the Rio de Janeiro State",
              journal = "Environmental Monitoring and Assessment",
                 year = "2020",
               volume = "192",
               number = "7",
                pages = "e449",
                month = "June",
             keywords = "Atlantic forest . Remote sensing . Evapotranspiration . Climate.",
             abstract = "The need to validate the quality of evapotranspiration estimates 
                         is essential for this parameter which has extended its use. For 
                         this, it is necessary to evaluate both new remote sensing products 
                         that expand the areas of estimated evapotranspiration and 
                         empirical equations that provide estimates with different data 
                         requirements. In order to examine this problem, the present study 
                         compared the estimates of evapotranspiration obtained by remote 
                         sensing of the MOD16A2 product and seven empirical equations with 
                         the estimates obtained through the FAO-56 reference method, with 
                         data obtained from six meteorological stations in the State of Rio 
                         de Janeiro, Brazil. Data cover the period from 2007 to 2013, which 
                         contains different phases of the El NiñoSouthern Oscillation 
                         phenomenon. The methods proposed by Valiantzas were those that 
                         obtained the best performances when compared with FAO-56 with R2 
                         over 90%. The non-parametric analysis of MannKendall for the six 
                         seasons was mostly not significant; only the station of Resende 
                         showed a tendency of significant growth during the El Niño episode 
                         (Z = 0.283 and p value = 0.050). The mangrove and forest classes 
                         were the ones that obtained the highest averages (3.75 mm 
                         d\−1 and 3.62 mm d\−1 ), where the gradient of 
                         evapotranspiration can be observed in the SouthNortheast portions. 
                         The MOD16A2 orbital product was inferior to the methods that used 
                         surface meteorological station data.",
                  doi = "10.1007/s10661-020-08421-z",
                  url = "http://dx.doi.org/10.1007/s10661-020-08421-z",
                 issn = "0167-6369",
             language = "en",
           targetfile = "Tito2020_Article_AssessmentOfEvapotranspiration.pdf",
        urlaccessdate = "27 abr. 2024"
}