基于GEE的黄土高原植被绿度线推移变化研究

谢佩君; 宋小燕; 孙文义; 穆兴民; 高鹏

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中国环境科学 ›› 2023, Vol. 43 ›› Issue (12) : 6518-6529.

环境生态

基于GEE的黄土高原植被绿度线推移变化研究

谢佩君^1,2, 宋小燕³, 孙文义^1,4, 穆兴民^1,4, 高鹏^1,4

作者信息 +

Research on the shift change of vegetation greenness line in the Loess Plateau based on GEE

XIE Pei-jun^1,2, SONG Xiao-yan³, SUN Wen-yi^1,4, MU Xing-min^1,4, GAO Peng^1,4

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文章历史 +

摘要

基于Google Earth Engine(GEE)云平台和Landsat系列遥感影像,以归一化植被指数(NDVI)和增强型植被指数(EVI)及其植被绿度线作为指标,分析了1987~2020年黄土高原生长季植被绿度以及植被绿度线推移的时空演变特征.结果表明:1987~2020年黄土高原生长季NDVI和EVI年均增速分别为0.0042a^-1(P<0.01)和0.0023a^-1(P<0.01),2000年后的平均增速是2000年前的3~4倍;空间分布上,NDVI和EVI变化趋势以显著上升和极显著上升为主,面积占比分别为78.78%和69.21 %;1987~2020年黄土高原植被绿度线VGL_NDVI和VGL_EVI分别以5.52 和4.59km/a的速率向北推移;1987~2020年VGL_NDVI和VGL_EVI分别平均北移173.93和131.62km,北移量变化主要发生在2005~2010年,北移量最大区域分布在陕西榆林和延安地区、山西西北部、内蒙古中南部等黄土高原中北部区域,最大北移距离分别达到532.12和471.57km.

Abstract

The temporal and spatial evolution patterns of the vegetation greenness index and its spatial distribution in the Loess Plateau hold significant scientific importance in gaining comprehensive insights into the dynamic changes of vegetation and assessing the effectiveness of ecological restoration. Although previous studies have explored the factors influencing spatiotemporal variations in vegetation greenness, the limited spatial resolution of remote sensing products poses challenges in capturing fine-scale characteristics and dynamic shifts in vegetation greenness lines. In the study, the Google Earth Engine (GEE) cloud platform, combined with a series of Landsat remote sensing images, is used to calculate the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), along with their Vegetation Greenness Lines, as indicators to characterize the spatiotemporal evolution of vegetation greenness during the growing season on the Loess Plateau from 1987 to 2020. The results show that the annual average growth rates of NDVI and EVI in the Loess Plateau were 0.0042a^-1 (P<0.01) and 0.0023a^-1 (P<0.01) from 1987 to 2020, respectively. Notable, the average growth rates after the year 2000 were approximately three to four times higher than those observed before 2000. In terms of spatial distribution, the trends in NDVI and EVI predominantly exhibited significant and highly significant increases, with respective area percentages of 78.78% and 69.21%. Over the period from 1987 to 2020, the vegetation greenness lines VGL_NDVI and VGL_EVI exhibited a northward movement in the Loess Plateau at rates of 5.52 and 4.59 km/year, respectively. Over the same period, the average northward movements for VGL_NDVI and VGL_EVI were 173.93km and 131.62km, respectively. The most significant northward shift was primarily observed between 2005 and 2010, with the largest movement of the VGL_NDVI and VGL_EVI occurring in the Yulin and Yan'an areas of Shaanxi Province, northwest Shanxi Province, and central and southern Inner Mongolia, reaching maximum distances of 532.12km and 471.57km, respectively.

导出引用

谢佩君, 宋小燕, 孙文义, 穆兴民, 高鹏. 基于GEE的黄土高原植被绿度线推移变化研究[J]. 中国环境科学. 2023, 43(12): 6518-6529

XIE Pei-jun, SONG Xiao-yan, SUN Wen-yi, MU Xing-min, GAO Peng. Research on the shift change of vegetation greenness line in the Loess Plateau based on GEE[J]. China Environmental Science. 2023, 43(12): 6518-6529

中图分类号： X87

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