Abstract:In order to analyze the spatiotemporal change of fractional vegetation and its driving forces in Chongqing since 2000, the MODIS-NDVI data, pixel dichotomous model, difference method, mean method and unary linear regression model were used to study the spatiotemporal and seasonal evolution characteristics of vegetation coverage of remote sensing images in Chongqing from 2000 to 2015. Geographic detector was used to analyse the interaction of temperature of precipitation, population density, GDP and other factors on vegetation coverage, and the suitable vegetation growth area in Chongqing was analyzed too. The results show that :(1) From 2000 to 2015, the seasonal mean of vegetation coverage in Chongqing increased from spring to summer, and decreased from summer to winter. The low, medium and low coverage tended to decrease from spring to summer and increase from summer to winter. (2) The vegetation coverage in Chongqing tended to improve from 2000 to 2015, and the increased area of vegetation coverage was much larger than the degraded area. The spatial distribution of vegetation coverage in the eastern region was higher than that in the western region. (3) The intensity of influence factors on FVC was as follows: temperature > precipitation > population density >GDP. When human factors and climate factors acted together, the influence on vegetation coverage was enhanced. (4) The area suitable for vegetation growth in Chongqing is the area with the average annual precipitation of 1383.3~1567.6 mm, the temperature of 5~10.2℃, the population of 22.7~211.5 person/ km2 and the average annual GDP of 17,9477,000 yuan/ km2. The research results can provide scientific basis for ecological environment management and protection in Chongqing and enrich the research results of geographical detector model.