High-altitude areas are thought to be more sensitive and responsive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. In this paper we comprehensively investigate the spatiotemporal variations in the LST and its dominant driving factors at both annual and seasonal scales from 2001 to 2020 based on the long-term series of MODIS data over the Yunnan Plateau (YNP) in southwest China, with a special focus on elevation-dependent warming (EDW). The results indicated that the annual LST showed a general increasing trend over the past 20 years, with an average rate of 0.18°C decade− 1, being stronger during summer season (0.47°C decade− 1). Moreover, an obvious asymmetric diurnal warming was observed; the nighttime warming rate was 0.43°C decade− 1, which is much faster than the daytime cooling rate (− 0.08°C decade− 1). We also confirmed the presence of EDW; it behaved more strongly at high elevations (above 3500 m) at a rate of 0.41 ºC decade− 1. Spatially, a warming trend was found in most areas, especially in high-cold mountains, hot-dry river valleys, and the tropics. In contrast, in the northeastern YNP and western side of the Ailao Mountains a cooling trend was observed. In most areas, air temperature is the dominant climatic factor influencing changes in LST at an annual, autumn and winter timescales, while precipitation plays a major role in annual LST changes in the northwest and northeast. LST and warming trend largely differenced with respect to land cover types, with the highest values occurring in built-up lands. This research is expected to contribute to a better understanding of surface-atmosphere interaction and climate change processes in YNP.