With global warming and rapid urbanization,heat wave has become one of the most significant climatic stressors in urban areas,which exerts greater influences on human health,society and economy. In this paper,the heat wave risk in Beijing City was assessed based on multi-source satellite remote sensing data. The land surface temperature (LST),normalized difference vegetation index (NDVI) and normalized difference building index (NDBI) were calculated from Landsat/TM data. The population density,per capita disposable income,ownership of air conditioning,percentage of population above 65 years old and percentage of construction workers were derived from DMSP/OLS night light data and socio-economic data. LST was considered as the hazard factor,and the other variables including NDVI,NDBI,population density,per capita disposable income,ownership of air conditioning,percentage of population above 65 years old and percentage of construction workers were considered as vulnerability factors. Then the heat wave risk index in Beijing was calculated from the hazard,vulnerability factors by a weighted average model. According to the risk index map,the heat wave risk in Beijing was assessed. The results indicated an obvious spatial variability of heat risk. Generally,the northern area showed lower heat risk than southern area,and the western area showed lower risk than the eastern area. High-risk regions were mainly concentrated in the metropolitan area and suburban districts within the 6rd Ring Road,which exhibited a radially decreasing trend from the center to the suburbs. There were also several sporadic high risk regions located in the urban areas of rural districts. Among these rural districts,Miyun,Mentougou,Huairou districts were characterized by the lowest heat risks,whose proportions of the high risk area were less than 10%. In addition to the urban areas,Yanhuai Basin,Miyun River Valley and some plain areas in the eastern Pinggu also showed relatively high risk. As for the densely populated plain and flatland areas,the central districts (Dongcheng District and Xicheng District) exhibited the highest heat risk indices of 0.57 and 0.56 respectively,followed by inner suburb districts (Shijingshan,Fengtai,Haidian and Chaoyang districts). The outer suburb districts showed relative lower heat wave risk indices,which were above 0.4. This article proposed a framework for assessing the heat stress risk in Beijing at the pixel level by remote sensing,which provide a scientific reference for heat wave adaptation strategies and mitigation plans.