干旱区生态环境知识资源中心(Arid): Spatiotemporal variability of soil moisture in arid vegetation communities using MODIS vegetation and dryness indices

Arid

DOI	10.1080/15324982.2019.1573441
	Spatiotemporal variability of soil moisture in arid vegetation communities using MODIS vegetation and dryness indices
	Amiri, Mohadeseh; Jafari, Reza; Tarkesh, Mostafa; Modarres, Reza
通讯作者	Amiri, M
来源期刊	ARID LAND RESEARCH AND MANAGEMENT
ISSN	1532-4982
EISSN	1532-4990
出版年	2020
卷号	34 期号:1 页码:1-25
英文摘要	Among the methods devised to delineate soil and water information, optical/thermal remote sensing offers great capabilities by providing spatiotemporally multi-scale data and products like surface dryness indices. In this context, the present study utilized the MODIS-based TVDI, iTVDI, and VDI indices to scrutinize the effect of dryness on soil moisture in three vegetation communities: Artemisia spp. (sagebrush), Astragalus spp. (astragale) and grassland in central Iran during a wet (2004) and a dry year (2008). The MOD13A2, MOD11A2, and MOD09A1 products acquired on DOYs (day of the year) 97, 129, 161, and 193 were used to extract dryness and vegetation indices. The downscaled 32-day interval PERSIANN-CCS products and field-measured soil moisture were used to appraise the validity of indices. The results showed statistically significant relationships (P < .05) between iTVDI and cumulative precipitation and soil moisture in all vegetation communities and on most DOYs, suggesting iTVDI as an effective indicator to monitor dryness status. Foremost among the vegetation indices, NDVI was found as a good complementary indicator to estimate vegetation-soil moisture conditions due to exhibiting stronger linear associations with precipitation, particularly in grassland during the wet (R-2 = 0.81) and the dry (R-2 = 0.72) year. The lowest values of dryness indices were observed in western and southern parts of the study area. In general, it was concluded that side by side assessment of vegetation and dryness indices was a more promising approach to dryness assessment and management over arid and semi-arid rangelands.
英文关键词	Downscaling drought dryness indices land surface temperature MODIS PERSIANN soil moisture vegetation indices
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000585305200001
WOS关键词	LAND-SURFACE TEMPERATURE ; PRECIPITATION PRODUCTS ; NDVI ; SATELLITE ; DROUGHT ; ALGORITHM ; SPACE ; EVI
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327286
作者单位	[Amiri, Mohadeseh; Jafari, Reza; Tarkesh, Mostafa; Modarres, Reza] Isfahan Univ Technol, Dept Nat Resources, Esfahan 8415683111, Iran
推荐引用方式 GB/T 7714	Amiri, Mohadeseh,Jafari, Reza,Tarkesh, Mostafa,et al. Spatiotemporal variability of soil moisture in arid vegetation communities using MODIS vegetation and dryness indices[J],2020,34(1):1-25.
APA	Amiri, Mohadeseh,Jafari, Reza,Tarkesh, Mostafa,&Modarres, Reza.(2020).Spatiotemporal variability of soil moisture in arid vegetation communities using MODIS vegetation and dryness indices.ARID LAND RESEARCH AND MANAGEMENT,34(1),1-25.
MLA	Amiri, Mohadeseh,et al."Spatiotemporal variability of soil moisture in arid vegetation communities using MODIS vegetation and dryness indices".ARID LAND RESEARCH AND MANAGEMENT 34.1(2020):1-25.