干旱区生态环境知识资源中心(Arid): Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran

Arid

DOI	10.1007/s12665-019-8347-4
	Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran
	Fakharizadehshirazi, Elham 1,2; Sabziparvar, Ali Akbar 2; Sodoudi, Sahar 1
通讯作者	Sabziparvar, Ali Akbar
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2019
卷号	78 期号:12
英文摘要	Soil moisture plays a crucial role in vegetation growth. However, the long-term influence of soil moisture on vegetation growth was not sufficiently understood in many regions, especially in developing countries, due to the lack of ground measurements. Remote sensing data provide a promising way to overcome this limitation. In this study, a long-term spatiotemporal variation in remote sensing surface soil moisture (SSM) and vegetation indices (VIs) and their relationship during 1988-2015 were analyzed over Iran. Trend-free pre-whitening Mann-Kendall test was applied for the detection of the trends in soil moisture and VIs time series. Also, the validity of the dry gets drier, wet gets wetter (DGDWGW) paradigm was examined throughout the country. Finally, the consistency between SSM and vegetation indices trends was investigated using homogeneity Chi-squared test. The results showed that the monthly average of the SSM over 45% of Iran is lower than 0.15m(3)/m(3). Seasonal average of SSM is 0.17 and 0.12m(3)/m(3) in spring and winter, respectively. On average, monthly SSM trends are downward in 70% of Iran, which 30% of those is statistically significant. Over the past 28years, about 50% and 35% of Iran got drier with rates of 0.24x10(-2) (spring) and 0.78x10(-3) (summer) m(3)/m(3) per year. According to DGDWGW paradigm examining, 14% of Iran follows the DGDWGW paradigm. Summer and spring normalized difference vegetation index (NDVI) and enhanced vegetation index values are less than 0.1 in about 45% and 65% of the areas, respectively. The NDVI values are decreased in 40% of Iran in the last 28years, of which half of those are statistically significant. SSM trends were consistent with vegetation indices using a homogeneity test. About 45% of SSM trends agree in sign with NDVI values. Life zone in the Southeast of Iran is arid desert scrubs, and in this area with sparse vegetation cover, mixing the spectral of soil and vegetation causes a serious problem in vegetation indices representing therefore the prominent mismatch between SSM and vegetation indices trends which were observed in Southeast of Iran.
英文关键词	Soil moisture Normalized difference vegetation index Remote sensing Nonparametric Mann-Kendall test Trend-free pre-whitening
类型	Article
语种	英语
国家	Germany ; Iran
收录类别	SCI-E
WOS记录号	WOS:000470318200004
WOS关键词	TREND ANALYSIS ; DUST OUTBREAKS ; GLOBAL TRENDS ; LAND USES ; PRECIPITATION ; NDVI ; CHINA ; VARIABILITY ; COVER ; REFLECTANCE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215420
作者单位	1.Free Univ Berlin, Inst Meteorol, Dept Earth Sci, Berlin, Germany; 2.Bu Ali Sina Univ, Fac Agr, Water Engn Dept, Hamadan, Iran
推荐引用方式 GB/T 7714	Fakharizadehshirazi, Elham,Sabziparvar, Ali Akbar,Sodoudi, Sahar. Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran[J],2019,78(12).
APA	Fakharizadehshirazi, Elham,Sabziparvar, Ali Akbar,&Sodoudi, Sahar.(2019).Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran.ENVIRONMENTAL EARTH SCIENCES,78(12).
MLA	Fakharizadehshirazi, Elham,et al."Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran".ENVIRONMENTAL EARTH SCIENCES 78.12(2019).