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Understanding vegetation changes in northern China and Mongolia with change vector analysis

文献类型： 外文期刊

作者： Gu, Xiaohe 1 ; Li, Weiguo 2 ; Wang, Lei 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Jiangsu Acad Agr Sci, Nanjing 210014, Jiangsu, Peoples R China

关键词： Change vector analysis (CVA);NDVI time series;Vegetation dynamic;CV magnitude

期刊名称：SPRINGERPLUS （ 影响因子：1.13； 五年影响因子：1.29 ）

ISSN： 2193-1801

年卷期： 2016 年 5 卷

页码：

收录情况： SCI

摘要： In recent years, a close link between vegetation change and climate change has been established. Vegetation change can be detected with remotely sensed images, especially with normalized difference vegetation index time series records. We used change vector analysis, especially change vector magnitude (CV magnitude), as an indicator to better understand vegetation change. Twenty-one layers of CV magnitude for each 10-day period from April to October have been acquired. Maxima, range, standard deviation, mean, and minima of CV magnitude were obtained and analyzed, identifying 11 regions with different types of vegetation change during different 10-day periods. In addition, the months of maximum CV magnitude were determined to help predict future vegetation change. The following conclusions were drawn: (a) CV magnitude can serve as an indicator to compare vegetation conditions among different years; (b) 11 typical regions were identified in the study area that show vegetation changes between 1999 and 2006; (c) the months with maximum CV magnitude can be used to better understand the key periods of vegetation change during the growing season from April to October.

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