植被覆盖度的动态监测是研究区域生态环境的重要部分,基于 Google Earth Engine遥感大数据云计算平台收集四川省2001—2016年Landsat TM/OLI的复合NDVI遥感影像,综合利用最大值合成法、像元二分模型、趋势分析等方法,估算2001—2016年的四川省植被覆盖度,并对16年的四川省植被覆盖度变化状况进行分析。结果表明:1)利用GEE强大的云计算能力可以对大面积研究区域进行长时序的动态监测;2)2001—2016年16年间,四川省的植被覆盖整体呈现比较良好的状况且植被覆盖变化趋势比较稳定;3)四川省植被覆盖度呈现空间分布不均的状况,大体呈现从边缘到中心覆盖度逐渐降低的趋势。16年间该地区的植被覆盖度整体呈现轻度增加的趋势,总体而言,四川省的植被覆盖状况良好。

Dynamic monitoring of vegetation coverage is an important part of studying regional ecological environment.This article uses the Google Earth Engine remote sensing big data cloud computing platform to collect the composite NDVI remote sensing images of Landsat TM/OLI in Sichuan Province from 2001-2016,and make comprehensive use of the methods of maximum synthesis,pixel binary model and trend analysis to estimate the vegetation coverage in Sichuan Province from 2001 to 2016 and analyze the changes in vegetation coverage in Sichuan Province in the past 16 years .The results show that,firstly,GEE's powerful cloud computing capability can be used to dynamically monitoring long time series in large study areas.Secondly,from 2001 to 2016,the vegetation coverage in Sichuan Province showed a relatively good overall situation and the vegetation cover change trend was relatively stable.Thirdly,the vegetation coverage in Sichuan province presents uneven spatial distribution,and generally shows a trend of gradual decrease from the edge to the center.In the past 16 years,the vegetation coverage in this region has shown a slight increase trend.In general,the vegetation coverage in Sichuan province is in good condition.