干旱区生态环境知识资源中心(Arid): Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data

Arid

DOI	10.3390/rs11091014
	Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data
	Liu, Caixia 1,2,3; Melack, John 3; Tian, Ye 1,2; Huang, Huabing 1,2; Jiang, Jinxiong 4; Fu, Xiao 5; Zhang, Zhouai 6,7
通讯作者	Liu, Caixia
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:9
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.
英文关键词	grassland NDVI RESTREND BFAST land degradation
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000469763600022
WOS关键词	INNER-MONGOLIA ; ABOVEGROUND BIOMASS ; VEGETATION TRENDS ; CLIMATE IMPACT ; COVER CHANGE ; AVHRR ; ECOSYSTEM ; DESERTIFICATION ; DYNAMICS ; DRYLANDS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218363
作者单位	1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China; 2.Beijing Normal Univ, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China; 3.Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA; 4.State Key Lab Space Ground Integrated Informat Te, Beijing 100029, Peoples R China; 5.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China; 6.Shenhua Baorixile Energy Co Ltd, Hulunbuir 021000, Peoples R China; 7.State Key Lab Water Resource Protect & Utilizat C, Beijing 100011, Peoples R China
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]. 北京师范大学,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).