 This study evaluates the performance of four LST retrieval algorithms, radiative transfer equation, RTE mono window algorithm, MWA, single channel algorithm, SCA, and split window algorithm, SWA, using different LSE models and data of Landsat missions, Landsat 5, 7, and 8. The study also examines the impact of the LSE models on the accuracy of the retrieved LST. The results show that RTE and NWA are more accurate than SCA and SWA, but they present different performances depending on the sensor type and season. Furthermore, the study shows that the use of NDVI-based LSE models can improve the accuracy of the retrieved LST compared to other LSE models. This article was authored by Alias Ansekartekin and Stefania Bonifoni.