首页|基于GEE长三角植被覆盖度时空变化及特征分析

基于GEE长三角植被覆盖度时空变化及特征分析

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近年来,长三角地区作为我国经济最活跃区域正聚焦于生态环境发展绿色一体化,然而区域的快速发展必将会对生态环境造成重要影响,如何选取指标对生态环境进行定量变化和趋势分析是个重要问题.因此,本文基于Google Earth Engine云平台,以长三角为研究区域,利用2000—2020年Landsat地表反射率数据和中分辨率成像光谱仪(MODIS)增强植被指数(EVI)数据,采用像元二分模型计算植被覆盖度(FVC).通过年际变化、Hurst指数等指标,对我国长三角地区的FVC时空演化趋势进行了预测分析.结果表明:长三角地区的FVC从2000年的0.602增长到2020年的0.669,处于中高覆盖度水平,并呈现稳步提升态势;从空间分布来看,植被覆盖度较高的区域对应安徽省西南部、浙江省的中南部以及江苏省的西北部地区.区域植被覆盖度赫斯特指数(Hurst)平均值为0.525,未来其生态环境将继续保持改善趋势.其结果可为后续生态环境变化与环境协同防治研究提供参考依据.
Spatio-temporal variation and characteristics of fractional vegetation cover in Yangtze River Delta based on GEE
In recent years,the Yangtze River Delta region,with the most economic activities in China,has been focusing on the green integration of ecological environment development. However,the rapid development of the region will certainly have an important impact on the ecological environment,so how to select indicators for quantitative change and trend analysis of the ecological environment is an important issue. Therefore,based on the Google Earth Engine cloud platform,this paper studied the Yangtze River Delta and used Landsat surface reflectivity data and moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI) data from 2000 to 2020 to calculate fractional vegetation cover (FVC) by pixel binary model. The spatio-temporal evolution trend of FVC in the Yangtze River Delta region of China was predicted and analyzed according to interannual variation and the Hurst index. The results show that the FVC in the Yangtze River Delta region increases from 0.602 in 2000 to 0.669 in 2020. It is at the medium-high coverage level and shows a steady improvement trend. From the perspective of spatial distribution,the regions with higher FVC are the southwestern part of Anhui Province,the central and southern part of Zhejiang Province,and the northwestern part of Jiangsu Province. The average Hurst index of regional FVC is 0.525,and the ecological environment will continue to be improved in the future. The results can provide a reference for the follow-up research on ecological environment change and environmental collaborative control.

fractional vegetation coverspatio-temporal variationGoogle Earth EngineYangtze River Delta

徐立晨、邓良、陈俊、黄建伟、项超生、江玉杰、张辰

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安徽省地质测绘技术院,安徽合肥 230022

合肥工业大学土木与水利工程学院,安徽合肥 230009

黄河中下游数字地理技术教育部重点实验室,河南开封 475004

植被覆盖度 时空变化 Google Earth Engine 长三角

黄河中下游数字地理技术教育部重点实验室开放基金

GTYR202209

2024

北京测绘
北京市测绘设计研究院,北京测绘学会

北京测绘

影响因子:0.55
ISSN:1007-3000
年,卷(期):2024.38(3)
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