干旱区生态环境知识资源中心(Arid): An integrated methodology for soil moisture analysis using multispectral data in Mongolia

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DOI	10.1080/10095020.2017.1307666
	An integrated methodology for soil moisture analysis using multispectral data in Mongolia
	Natsagdorj, Enkhjargal; Renchin, Tsolmon; Kappas, Martin; Tseveen, Batchuluun; Dari, Chimgee; Tsend, Oyunbileg; Duger, Ulam-Orgikh
通讯作者	Renchin, T
来源期刊	GEO-SPATIAL INFORMATION SCIENCE
ISSN	1009-5020
EISSN	1993-5153
出版年	2017
卷号	20 期号:1 页码:46-55
英文摘要	Soil moisture (SM) content is one of the most important environmental variables in relation to land surface climatology, hydrology, and ecology. Long-term SM data-sets on a regional scale provide reasonable information about climate change and global warming specific regions. The aim of this research work is to develop an integrated methodology for SM of kastanozems soils using multispectral satellite data. The study area is Tuv (48 degrees 40'30"N and 106 degrees 15'55"E) province in the forest steppe zones in Mongolia. In addition to this, land surface temperature (LST) and normalized difference vegetation index (NDVI) from Landsat satellite images were integrated for the assessment. Furthermore, we used a digital elevation model (DEM) from ASTER satellite image with 30-m resolution. Aspect and slope maps were derived from this DEM. The soil moisture index (SMI) was obtained using spectral information from Landsat satellite data. We used regression analysis to develop the model. The model shows how SMI from satellite depends on LST, NDVI, DEM, Slope, and Aspect in the agricultural area. The results of the model were correlated with the ground SM data in Tuv province. The results indicate that there is a good agreement between output SM and SM of ground truth for agricultural area. Further research is focused on moisture mapping for different natural zones in Mongolia. The innovative part of this research is to estimate SM using drivers which are vegetation, land surface temperature, elevation, aspect, and slope in the forested steppe area. This integrative methodology can be applied for different regions with forest and desert steppe zones.
英文关键词	Remote sensing Landsat soil moisture ground truth measurement modeling
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000409344900006
WOS关键词	INDEX
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/332228
作者单位	[Natsagdorj, Enkhjargal; Renchin, Tsolmon; Duger, Ulam-Orgikh] Natl Univ Mongolia, NUM ITC UNESCO Lab Space Sci & Remote Sensing, Ulaanbaatar, Mongolia; [Kappas, Martin] Georg August Univ Goettingen, Inst Geog, Cartog GIS & Remote Sensing Dept, Gottingen, Germany; [Tseveen, Batchuluun] Natl Univ Mongolia, Dept Environm & Forest Engn, Ulaanbaatar, Mongolia; [Dari, Chimgee] Natl Univ Mongolia, Dept Stat, Ulaanbaatar, Mongolia; [Tsend, Oyunbileg] Mongolian Univ Life Sci, Sch Agroecol, Ulaanbaatar, Mongolia
推荐引用方式 GB/T 7714	Natsagdorj, Enkhjargal,Renchin, Tsolmon,Kappas, Martin,et al. An integrated methodology for soil moisture analysis using multispectral data in Mongolia[J],2017,20(1):46-55.
APA	Natsagdorj, Enkhjargal.,Renchin, Tsolmon.,Kappas, Martin.,Tseveen, Batchuluun.,Dari, Chimgee.,...&Duger, Ulam-Orgikh.(2017).An integrated methodology for soil moisture analysis using multispectral data in Mongolia.GEO-SPATIAL INFORMATION SCIENCE,20(1),46-55.
MLA	Natsagdorj, Enkhjargal,et al."An integrated methodology for soil moisture analysis using multispectral data in Mongolia".GEO-SPATIAL INFORMATION SCIENCE 20.1(2017):46-55.