Laipelt, L.;                     Ruhoff, A.L.;                     Fleischmann, A.S.;                     Kayser, R.H.B.;                     Kich, E.d.M.;                     da Rocha, H.R.;                     Neale, C.M.U.    
        Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil. Remote Sens. 2020, 12, 1108.
    https://doi.org/10.3390/rs12071108
    AMA Style
    
                                Laipelt L,                                 Ruhoff AL,                                 Fleischmann AS,                                 Kayser RHB,                                 Kich EdM,                                 da Rocha HR,                                 Neale CMU.        
                Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil. Remote Sensing. 2020; 12(7):1108.
        https://doi.org/10.3390/rs12071108
    
    Chicago/Turabian Style
    
                                Laipelt, Leonardo,                                 Anderson Luis Ruhoff,                                 Ayan Santos Fleischmann,                                 Rafael Henrique Bloedow Kayser,                                 Elisa de Mello Kich,                                 Humberto Ribeiro da Rocha,                                 and Christopher Michael Usher Neale.        
                2020. "Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil" Remote Sensing 12, no. 7: 1108.
        https://doi.org/10.3390/rs12071108
    
    APA Style
    
                                Laipelt, L.,                                 Ruhoff, A. L.,                                 Fleischmann, A. S.,                                 Kayser, R. H. B.,                                 Kich, E. d. M.,                                 da Rocha, H. R.,                                 & Neale, C. M. U.        
        
        (2020). Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil. Remote Sensing, 12(7), 1108.
        https://doi.org/10.3390/rs12071108