Arid
DOI10.1109/IGARSS.2014.6946533
ASSESSMENT OF LAND DEGRADATION USING TIME SERIES TRENDS ANALYSIS OF VEGETATION INDICTORS IN BEIJING-TIANJIN DUST AND SANDSTORM SOURCE REGION
Wang, Hongyan; Li, Qiangzi; Gao, Zhihai; Sun, Bin; Du, Xin
通讯作者Gao, Zhihai
会议名称IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing
会议日期JUL 13-18, 2014
会议地点Quebec City, CANADA
英文摘要

Assessment of land condition is a basic prerequisite for finding the degradation of a territory under climatic and human pressures leading to desertification. The temporal change in vegetation productivity is a key indicator of land degradation. In this paper, taking the Beijing-Tianjin dust and sandstorm source region (BTDSSR) as a case, the annual-maximum normalized difference vegetation index (NDVI_max) and net primary production (NPP) dynamic trends during 2001-2010 were analyzed, with the MannKendall test and the Correlation Analysis method. The results showed that the two vegetation indicators (NDVI_max and NPP) had shown a downward trend with the two methods in the past 10 years and the land was in the degradation. For the analysis of the two vegetation indicators (NDVI_max and NPP), it indicated a decreasing trend in 66.60% and 70.26% of the study area according to the Mann-Kendall test and in 59.53% and 64.35% of the study area according to the correlation analysis method. However, the change trends were not significant, the significant trends at the 95% confidence level accounted for only a small proportion. Analysis of NDVI_max and NPP series showed a significant decreasing trend in 6.79% and 12.3% with the Mann-Kendall test. The NDVI_max and NPP change trends showed obvious positive link with the precipitation in the study area.


英文关键词Assessment land degradation NDVI and NPP time series trends analysis
来源出版物2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
ISSN2153-6996
出版年2014
页码753-756
EISBN978-1-4799-5775-0
出版者IEEE
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000349688101054
WOS关键词SOUTH-AFRICA ; RAINFALL ; INDEX ; NDVI
WOS类目Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向Engineering ; Geology ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/303120
作者单位Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wang, Hongyan,Li, Qiangzi,Gao, Zhihai,et al. ASSESSMENT OF LAND DEGRADATION USING TIME SERIES TRENDS ANALYSIS OF VEGETATION INDICTORS IN BEIJING-TIANJIN DUST AND SANDSTORM SOURCE REGION[C]:IEEE,2014:753-756.
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