为了探究植被参数变化特征，基于Google Earth Engine云计算平台，以中国赣南脐橙产业园为例，利用2018～2022年长时间序列Sentinel-2遥感影像，通过均值法获得中国赣南脐橙产业园2018～2022年的月(年)均NDVI、RVI值，并通过经验公式法计算了中国赣南脐橙产业园2018～2022年的月(年)均LAI值，然后分析它们的时间变化特征。结果表明：基于Google Earth Engine云计算平台，能够实现用Sentinel-2影像估算研究区的月(年)尺度植被参数值;中国赣南脐橙产业园5年间月均NDVI值在0.194至0.565之间，月均RVI值在1.53至3.797之间，月均LAI值在3.033至6.523之间；夏季的植被参数较高，冬季的植被参数较低，与植被的生长周期基本一致；中国赣南脐橙产业园5年间NDVI值总体呈现降低趋势(R2=0.8253)，RVI值总体呈现降低趋势(R2=0.8257)，LAI值总体呈现降低趋势(R2=0.826)。

In order to explore the characteristics of vegetation parameter changes, based on the Google Earth Engine cloud computing platform, taking the Gannan Navel Orange Industrial Park in China as an example, using the long-term Sentinel-2 remote sensing images from 2018 to 2022, the average value method was used to obtain the 2018 The monthly (annual) average NDVI and RVI values from 2018 to 2022 were calculated, and the monthly (annual) average LAI values from 2018 to 2022 in Gannan Navel Orange Industrial Park in China were calculated by empirical formula method, and then their temporal variation characteristics were analyzed. The results show that based on the Google Earth Engine cloud computing platform, the monthly (annual) scale vegetation parameter values of the study area can be estimated using Sentinel-2 images; the monthly average NDVI value of Gannan Navel Orange Industrial Park in China is between 0.194 and 0.565 over the past five years. The monthly average RVI value is between 1.53 and 3.797, and the monthly average LAI value is between 3.033 and 6.523; the vegetation parameters are higher in summer and lower in winter, which is basically consistent with the growth cycle of vegetation; Gannan Navel Orange Industrial Park, China During the 5 years, the NDVI value generally showed a downward trend (R2=0.8253), the RVI value generally showed a downward trend (R2=0.8257), and the LAI value generally showed a downward trend (R2=0.826).