干旱区生态环境知识资源中心(Arid): Long Range Correlation in Vegetation Over West Africa From 1982 to 2011

Arid

DOI	10.1109/ACCESS.2019.2933235
	Long Range Correlation in Vegetation Over West Africa From 1982 to 2011
	Igbawua, Tertsea; Zhang, Jiahua; Yao, Fengmei; Ali, Shahzad
通讯作者	Zhang, JH (corresponding author), Qingdao Univ, Coll Comp Sci & Technol, Remote Sensing Informat & Digital Earth Ctr, Qingdao, Peoples R China. ; Zhang, JH ; Yao, FM (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China.
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2019
卷号	7 页码:119151-119165
英文摘要	Satellite-derived Normalized Difference Vegetation index (NDVI) data records offer important sources for long term correlation modelling over West Africa. In this study, we assessed long range correlations in half monthly NDVI records over West Africa from 1982 to 2011 using GIMMS NDVI. In our analysis, we assessed (a) the annual and seasonal trends obtained using Ordinary Linear Regression, (b) the detrended lag-1-autocorrelation C(1), (c) the Detrended Fluctuation Analysis (DFA) scaling Hurst exponent h and (d) the Multifractal (MF) characteristics of NDVI. Results show that there exist some patterns or trends in the records that persist over time. The value of C(1) for NDVI was obtained as 0.989 is significant at 95% confidence interval. Consequently, the scaling h values of the Hurst DFA showed that about 37.4, 20.5, 41.7 and 0.5% of the vegetated areas are anti-correlated (h < 0.5), un-correlated (h = 0.5), correlated (0 :5 < h < 1) and uncorrelated random walk (h = 1), respectively. The trend analysis from Ordinary Least square Regression (OLR) shows that about 54.3, 0.1 and 45.6% of the vegetated areas are positively, uncorrelated and negatively correlated, respectively. Our findings revealed that the DFA method performed better than OLR and the findings could be useful in identifying areas with improved and degraded vegetation, which cannot be properly captured by the OLR method. Accordingly, the comparison of the MF-DFA results of original data to those of shuffled and surrogate series indicated that the multifractal nature of considered time-series is both from PDF and long-range correlations but arguably, MF due to long range correlation dominates over West Africa. The research is therefore helpful in the formulating crop and environmental management policies that may be used to improve ecosystem management using a long term plan (inter-annual) or short term (inter-seasonal) planning.
英文关键词	Long range correlation multifractality NOAA AVHRR NDVI ecological zones West Africa
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000509361300001
WOS关键词	DETRENDED FLUCTUATION ANALYSIS ; CLIMATE-CHANGE ; FRACTAL DIMENSION ; DYNAMICS ; TRENDS ; NDVI ; DESERTIFICATION ; PERSISTENCE ; VARIABILITY ; RAINFALL
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369728
作者单位	[Igbawua, Tertsea; Zhang, Jiahua; Ali, Shahzad] Qingdao Univ, Coll Comp Sci & Technol, Remote Sensing Informat & Digital Earth Ctr, Qingdao, Peoples R China; [Zhang, Jiahua; Yao, Fengmei] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; [Igbawua, Tertsea] Fed Univ Agr, Dept Phys, Makurdi, Nigeria
推荐引用方式 GB/T 7714	Igbawua, Tertsea,Zhang, Jiahua,Yao, Fengmei,et al. Long Range Correlation in Vegetation Over West Africa From 1982 to 2011[J],2019,7:119151-119165.
APA	Igbawua, Tertsea,Zhang, Jiahua,Yao, Fengmei,&Ali, Shahzad.(2019).Long Range Correlation in Vegetation Over West Africa From 1982 to 2011.IEEE ACCESS,7,119151-119165.
MLA	Igbawua, Tertsea,et al."Long Range Correlation in Vegetation Over West Africa From 1982 to 2011".IEEE ACCESS 7(2019):119151-119165.