As one of the important types of land cover, snow cover has important feedback and adjustment effects on the local hydrological environment and phenological change of vegetation. Based on MOD10A1/MYD10A1 daily snow cover dataset after removing cloud, the spatio-temporal variation of snow cover and the correlation between snow cover area and meteorological factors (temperature and precipitation) was analyzed in the Amur River Basin from 2002 to 2016. The results show that:1) during the study period, the proportion of land surface with increasing snow-cover days (SCDs) was slightly larger than that of decreasing SCDs in Amur River Basin. In terms of temporal variations, the annual snow cover area of the whole basin showed a slightly increasing trend, whereas it was manifested as an increase in winter and summer, a decrease in autumn, and oscillating in spring. 2) The correlations between snow cover area and climate factors vary with season. Snow cover area was negatively correlated with mean air temperature (P<0.01) in March and April or with the highest air temperature (P<0.05) in autumn, while it was positively correlated with precipitation (P<0.01) in February, June, and December. To sum up, the interannual variation of snow cover in Amur River basin over the past 14 years and its correlation with temperature and precipitation showed significant seasonal differences. The results will provide a reference for the researches on climate change, disaster prevention and environmental effects of human activities.
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