Monitoring the Spatiotemporal Dynamics of Aeolian Desertification Using Google Earth Engine

文献类型： 外文期刊

第一作者： Chen, Ang

作者： Chen, Ang;Yang, Xiuchun;Xu, Bin;Wang, Ping;Xu, Bin;Jin, Yunxiang;Xing, Xiaoyu;Yang, Dong;Guo, Jian;Guo, Jian;Zhu, Libo

作者机构：

关键词： aeolian desertification; Google Earth Engine (GEE); unmanned aerial vehicle (UAV); human activity; climate change

期刊名称：REMOTE SENSING （ 影响因子：4.509； 五年影响因子：5.001 ）

ISSN：

年卷期： 2021 年 13 卷 9 期

页码：

收录情况： SCI

摘要： Northern China has been long threatened by aeolian desertification. In recent years, all levels of the Chinese government have performed a series of ecological protection and sand control projects. To grasp the implementation effects of these projects and adjust policies in time, it is necessary to understand the process of aeolian desertification quickly and accurately. Remote sensing technologies play an irreplaceable role in aeolian desertification monitoring. In this study, the Zhenglan Banner, which is in the hinterland of the Hunshandake Sandy Land, was considered as the research area. Based on unmanned aerial vehicle (UAV) images, ground survey data, and Landsat images called in Google Earth Engine (GEE), the aeolian desertified land (ADL) in 2000, 2004, 2010, 2015, and 2019 was extracted using spectral mixture analysis. A desertification index (DI) was constructed to evaluate the spatial and temporal dynamics of the ADL in the Zhenglan Banner. Finally, a residual analysis explored the driving forces of aeolian desertification. The results showed that (1) the ADL area in the Zhenglan Banner has been trending downwards over the past 20 years but rebounded from 2004 to 2010; (2) over the past 20 years, the area of slightly, moderately, and severely desertified land has decreased at annual rates of 0.4%, 2.7%, and 3.4%, respectively; (3) human activities had significantly positive and negative impacts on the aeolian desertification trend for 20.0% and 21.0% of the study area, respectively, but not for the rest. This paper explored new techniques for rapid aeolian desertification monitoring and is of great significance for controlling and managing aeolian desertification in this region.

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