[PERSON] and [PERSON] [21] showed that snow droughts often induce midwenter flood events in Sierra Nevada watersheds. Moreover, snow drought and the associated lower snow fractions are leading to a decreased annual runoff because there has been a change in the seasonal timing and precipitation amount as well as a shift in water supply away from summer and toward winter [22; 23]. However, whether snow drought influences the forest and grass growth process and phenology were overlooked in these studies. Vegetation phenology, which is easily influenced by soil water and temperature, has been studied by monitoring plant growth processes and indirectly measuring their growing conditions since the 1980s [24; 25]. As a key sensitive indicator of climate change, vegetation phenology is also the response of terrestrial ecosystems to climate change [26]. The changing global climate also leads to fluctuations in vegetation phenology in different regions, and many researchers have discussed the relationship between forest and grass phenology and precipitation and temperature [27; 28]. In the meteorological factor influencing the process, the precipitation and snow are expected to accelerate the onset of forest growing season; the forest leaves absorb nutrients and carbohydrates from both twigs and roots. Melted water from snowfall was the main source of soil water, and the grassland grows more reliant on the soil water to provide nutrients. [PERSON] et al. [29] aimed to investigate phenological sensitivities to temperature in two valleys of the Pyrenees Mountains in southern France and found an obvious correlation between phenological period and temperature factor and similar sensitivity patterns in two places. [PERSON] et al. [30] used remote sensing data to explore the precipitation and phenological relationships in spatial and temporal scales in the northern Sonoran Desert. Monitoring the phenological period in large-scale remote sensing has been increasingly applied due to its good spatial and temporal resolution [31; 32]. Vegetation indices obtained by various satellites have been developed to calculate vegetation phenological periods, such as normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) [33]. [PERSON] et al. [34] investigated the relationship in spatial and temporal variability for rainfall, phenology and vegetation with EVI data in the North Australian Tropical Transect. [PERSON] et al. [35] used time-series data from EVI production to analyze tropical evergreen forest leaf phenology over a long-term time scale in South America. Thus, previous research also has used the EVI data due to the higher sensitivity to green vegetation density than NDVI by plant phenology products [36]. To answer the question of whether snow drought influences the forest and grass growth process and phenology, remote sensing and meteorological data were collected, and the objectives were as follows: (1) to detect the snow drought period by using 20 years of meteorological data from the mid-high latitude area of Northeast Asia; (2) to calculate the phenological period and biomass of forest and grass in the snow drought stage by using multisource remote sensing data and logistic modeling; and (3) to evaluate the influences of snow drought on the phenology and forest and grass growth process through 16 phenological periods of snow drought periods.