Mansourmoghaddam, M.;                     Rousta, I.;                     Ghafarian Malamiri, H.;                     Sadeghnejad, M.;                     Krzyszczak, J.;                     Ferreira, C.S.S.    
        Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran). Remote Sens. 2024, 16, 454.
    https://doi.org/10.3390/rs16030454
    AMA Style
    
                                Mansourmoghaddam M,                                 Rousta I,                                 Ghafarian Malamiri H,                                 Sadeghnejad M,                                 Krzyszczak J,                                 Ferreira CSS.        
                Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran). Remote Sensing. 2024; 16(3):454.
        https://doi.org/10.3390/rs16030454
    
    Chicago/Turabian Style
    
                                Mansourmoghaddam, Mohammad,                                 Iman Rousta,                                 Hamidreza Ghafarian Malamiri,                                 Mostafa Sadeghnejad,                                 Jaromir Krzyszczak,                                 and Carla Sofia Santos Ferreira.        
                2024. "Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)" Remote Sensing 16, no. 3: 454.
        https://doi.org/10.3390/rs16030454
    
    APA Style
    
                                Mansourmoghaddam, M.,                                 Rousta, I.,                                 Ghafarian Malamiri, H.,                                 Sadeghnejad, M.,                                 Krzyszczak, J.,                                 & Ferreira, C. S. S.        
        
        (2024). Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran). Remote Sensing, 16(3), 454.
        https://doi.org/10.3390/rs16030454