 This study validates the accuracy of Landsat 5, 7, and 8 land surface temperature, LST, products in the Contaminus United States from 2009 to 2019 using in-situ measurements collected at various sites. The results show that a relatively consistent performance among Landsat sensors is obtained for most sites due to the consistent LST retrieval algorithm and correction methods. However, large bias and root mean square error, RMSE, are observed at some vegetated sites due to incorrect land surface emissivity, LSE, estimation where LSE is invariant with normalized difference vegetation index, NDVI. The study finds a mean bias, RMSE, 1.0K, 2.1K, over snow-free land surfaces, minus 1.1K, 1.6K, over snow surfaces, and minus 0.3K, 1.1K, over water surfaces. This article was authored by Saibou Duan, Jialiang Li, Wei Yi Zhao, and others. We are article.tv, links in the description below.