Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data | |
Liu, Caixia; Melack, John; Tian, Ye; Huang, Huabing; Jiang, Jinxiong; Fu, Xiao; Zhang, Zhouai | |
刊名 | REMOTE SENSING
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2019-05-01 | |
卷号 | 11期号:9页码:- |
关键词 | grassland NDVI RESTREND BFAST land degradation |
ISSN号 | 2072-4292 |
英文摘要 | Grassland ecosystems in China have experienced degradation caused by natural processes and human activities. Time series segmentation and residual trend analysis (TSS-RESTREND) was applied to grasslands in eastern China. TSS-RESTREND is an extended version of the residual trend (RESTREND) methodology. It considers breakpoint detection to identify pixels with abrupt ecosystem changes which violate the assumptions of RESTREND. With TSS-RESTREND, in Xilingol (111 degrees 59-120 degrees 00E and 42 degrees 32-46 degrees 41E) and Hulunbuir (115 degrees 30-122 degrees E and 47 degrees 10-51 degrees 23N) grassland, 6% and 3% of the area experienced a decrease in greenness between 1984 and 2009, 80% and 73% had no significant change, 5% and 3% increased in greenness, and 9% and 21% were undetermined, respectively. RESTREND may underestimate the greening trend in Xilingol, but both TSS-RESTREND and RESTREND revealed no significant differences in Hulunbuir. The proposed TSS-RESTREND methodology captured both the time and magnitude of vegetation changes. |
内容类型 | 期刊论文 |
源URL | [http://ir.rcees.ac.cn/handle/311016/42710] ![]() |
专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
作者单位 | 1.State Key Lab Space Ground Integrated Informat Te, Beijing 100029, Peoples R China 2.Beijing Normal Univ, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 3.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 4.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China 5.Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA |
推荐引用方式 GB/T 7714 | Liu, Caixia,Melack, John,Tian, Ye,et al. Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data[J]. REMOTE SENSING,2019,11(9):-. |
APA | Liu, Caixia.,Melack, John.,Tian, Ye.,Huang, Huabing.,Jiang, Jinxiong.,...&Zhang, Zhouai.(2019).Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data.REMOTE SENSING,11(9),-. |
MLA | Liu, Caixia,et al."Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data".REMOTE SENSING 11.9(2019):-. |
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