干旱区生态环境知识资源中心(Arid): Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage

Arid

DOI	10.3390/s19030589
	Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage
	Huang, Shuai 1,2; Ding, Jianli1,2 ; Zou, Jie 1,2; Liu, Bohua 1,2; Zhang, Junyong 1,2; Chen, Wenqian 1,2
通讯作者	Ding, Jianli
来源期刊	SENSORS
ISSN	1424-8220
出版年	2019
卷号	19 期号:3
英文摘要	Soil moisture is an important aspect of heat transfer process and energy exchange between land-atmosphere systems, and it is a key link to the surface and groundwater circulation and land carbon cycles. In this study, according to the characteristics of the study area, an advanced integral equation model was used for numerical simulation analysis to establish a database of surface microwave scattering characteristics under sparse vegetation cover. Thus, a soil moisture retrieval model suitable for arid area was constructed. The results were as follows: (1) The response of the backscattering coefficient to soil moisture and associated surface roughness is significantly and logarithmically correlated under different incidence angles and polarization modes, and, a database of microwave scattering characteristics of arid soil surface under sparse vegetation cover was established. (2) According to the Sentinel-1 radar system parameters, a model for retrieving spatial distribution information of soil moisture was constructed; the soil moisture content information was extracted, and the results were consistent with the spatial distribution characteristics of soil moisture in the same period in the research area. (3) For the 0-10 cm surface soil moisture, the correlation coefficient between the simulated value and the measured value reached 0.8488, which means that the developed retrieval model has applicability to derive surface soil moisture in the oasis region of arid regions. This study can provide method for real-time and large-scale detection of soil moisture content in arid areas.
英文关键词	microwave remote sensing Sentinel-1 AIEM model soil moisture
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Published, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000459941200152
WOS关键词	SURFACE-ROUGHNESS ; WATER-CONTENT ; REFLECTANCE ; BACKSCATTERING ; SCATTERING ; SATELLITE ; CARBON ; RADAR ; MODEL ; INDEX
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218838
作者单位	1.Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; 2.Xinjiang Univ, Minist Educ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Huang, Shuai,Ding, Jianli,Zou, Jie,et al. Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage[J]. 新疆大学,2019,19(3).
APA	Huang, Shuai,Ding, Jianli,Zou, Jie,Liu, Bohua,Zhang, Junyong,&Chen, Wenqian.(2019).Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage.SENSORS,19(3).
MLA	Huang, Shuai,et al."Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage".SENSORS 19.3(2019).