###### Abstract
), considerable phenological data can be collected in a short period of time [4]. Among the environmental influencing factors, temperature is deemed the foremost meteorological factor affecting plant phenology [5]. [PERSON] et al. [6] analyzed individual observations and model simulations and discovered that for every 1 \({}^{\circ}\)C increase in temperature, the spring phenology of plants growing in China advances by 4.93 d. [PERSON] et al. [7] observed that with small changes in temperature and photoperiod throughout the year, the changes in the phenological period of plants will depend primarily on changes in temperature due to their heat requirements. Illumination is also a significant meteorological factor influencing plant phenology. [PERSON] et al. [8] investigated the blossoms of 33 alpine plants in Austria and discovered that 54% of the plants were sensitive to photoperiod during florescence. Moisture can also influence phenological changes; however, [PERSON] et al. [9] considered that the main climatic factor to cause notable changes in vegetation in eastern China was temperature, and the role of precipitation was not evident. From initial human observations to the use of remote sensing technology, plant phenology observation methods have gradually become the current mainstream means. Although satellite remote sensing can be used to observe plant phenology at the regional and global scales, it is vulnerable to external influences such as clouds and the atmosphere. Nevertheless, the camera's continuous photography technology, known as near-ground remote sensing technology, makes it possible to perform the phenological analysis of time series by extracting image information. This technology is characterized by high resolution, small-scale observation, automatic high-frequency measurement, high-quality images, and low cost [10; 11], and it can be used to verify the large-scale vegetation phenology analyses performed on the basis of satellite remote sensing, and observe the fine phenological characteristics of microcosms and individual species. This is a powerful means to counteract insufficient specific and technological analysis of satellite remote sensing and conventional ground phenological observation. It has been widely used in many national phenology observation networks, worldwide. [PERSON] [12] employed the vegetation data in the phenology camera observation network (Pheno Cam), and multiple phenological extraction methods were compared to verify the accuracy of camera phenological parameter extraction. [PERSON] et al. [13] used digital cameras to analyze the differences in greenness indices pursuant to the phenology of alpine grasslands in Dangxiong, Tibet, and determined that the absolute greenness index could be used to characterize the seasonal changes in alpine grassland vegetation communities. [PERSON] et al. [14] reported that digital cameras could be used to elaborate the phenological changes in mixed beech forests in northern Switzerland. [PERSON] [15] used near-earth remote sensing (digital camera) at the Oakville Prairie Biological Field Station to analyze the response of GCC to environmental factors such as soil moisture and temperature, air temperature, and solar radiation. [PERSON] et al. [16] adopted near-Earth remote sensing to recognize sources of uncertainty in forest canopy phenology. As indicated by the above literature, the majority of studies focus on the phenological response to climate in terms of temperature and light. Irrigation has a certain impact on phenology. An experiment in Northeast Thailand showed that for most crops in the lowlands, irrigation was able to subtract 6-7 days from the flowering stage [17]. [PERSON] et al. pointed out that the growth and flowering periods of alpine and Arctic plant species were closely related to the snowmelt date, because snowmelt causes changes in water and temperature, thus affecting plant growth [18]. The impact of precipitation on plant flowering is particularly obvious in tropical and arid areas. [PERSON] et al.