@InProceedings{SilvaManzAlbu:2019:MoEvIm,
               author = "Silva, C{\'e}sar de Oliveira Ferreira and Manzione, Rodrigo Lilla 
                         and Albuquerque Filho, Jos{\'e} Luiz",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Instituto de Pesquisas 
                         Tecnol{\'o}gicas (IPT)}",
                title = "Modelagem da evapotranspira{\c{c}}{\~a}o com imagens Santinel-2 
                         e Landsat-8",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1584--1587",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "uso da {\'a}gua, irriga{\c{c}}{\~a}o, R, Water use, irrigation, 
                         R.",
             abstract = "A modelagem de evapotranspira{\c{c}}{\~a}o (ET) foi realizada 
                         por meio do algoritmo SAFER (Surface Algorithm for 
                         Evapotranspiration Retrieving) com imagens de sat{\'e}lite 
                         Landsat e Sentinel-2 do mesmo dia (26 de novembro de 2016), no 
                         Sudeste do Brasil, avaliando se houve diferen{\c{c}}as 
                         significativas entre essas fontes de dados radiom{\'e}tricos. O 
                         albedo superficial variou de 0,12 a 0,29. O NDVI variou de -0,43 a 
                         0,85. Evapotranspira{\c{c}}{\~a}o atingiu at{\'e} 4,7 mm e a 
                         temperatura superficial variou entre 300 e 345 K. N{\~a}o houve 
                         diferen{\c{c}}a significativa entre a utiliza{\c{c}}{\~a}o do 
                         Sentinel-2 e Landsat-8 para modelagem do albedo superficial nem 
                         entre o uso da banda termal e do m{\'e}todo residual com 
                         reflect{\^a}ncias do Landsat-8, mas houve para o NDVI, 
                         evapotranspira{\c{c}}{\~a}o e outros casos da temperatura 
                         superficial. ABSTRACT: Evapotranspiration (ET) modeling was 
                         performed by the socalled SAFER algorithm (Surface Algorithm for 
                         Evapotranspiration Retrieving) with satellite images of Landsat-8 
                         and Sentinel-2 of the same day (November 26, 2016) in Southeastern 
                         Brazil, evaluating whether there were significant differences 
                         between those sources of radiometric data. The surface albedo 
                         ranged from 0,12 to 0,29. NDVI ranged from -0,43 to 0,85. 
                         Evapotranspiration reached 4.7 mm and a surface temperature 
                         varying between 300 and 345 K. Evapotranspiration reached up to 
                         4.7 mm and the surface temperature varied between 300 and 345 K. 
                         There was no significant difference between the use of Sentinel-2 
                         and Landsat-8 for modeling the superficial albedo nor between the 
                         use of the thermal band and the residual method with Landsat-8 
                         reflectances, but there was for NDVI, evapotranspiration and other 
                         cases of surface temperature.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U62QR8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U62QR8",
           targetfile = "97655.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "13 maio 2024"
}