干旱区生态环境知识资源中心(Arid): The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region

Arid

DOI	10.3390/rs12091358
	The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region
	Huang, Shuai 1,2; Ding, Jianli1,2 ; Liu, Bohua 1,2; Ge, Xiangyu 1,2; Wang, Jinjie 1,2; Zou, Jie 1,2; Zhang, Junyong 1,2
通讯作者	Ding, Jianli
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:9
英文摘要	In the earth ecosystem, surface soil moisture is an important factor in the process of energy exchange between land and atmosphere, which has a strong control effect on land surface evapotranspiration, water migration, and carbon cycle. Soil moisture is particularly important in an oasis region because of its fragile ecological environment. Accordingly, a soil moisture retrieval model was conducted based on Dubois model and ratio model. Based on the Dubois model, the in situ soil roughness was used to simulate the backscattering coefficient of bare soil, and the empirical relationship was established with the measured soil moisture. The ratio model was used to eliminate the backscattering contribution of vegetation, in which three vegetation indices were used to characterize vegetation growth. The results were as follows: (1) the Dubois model was used to calibrate the unknown parameters of the ratio model and verified the feasibility of the ratio model to simulate the backscattering coefficient. (2) All three vegetation indices (Normalized Difference Vegetation Index (NDVI), Vegetation Water Content (VWC), and Enhanced Vegetation Index (EVI)) can represent the scattering characteristics of vegetation in an oasis region, but the VWC vegetation index is more suitable than the others. (3) Based on the Dubois model and ratio model, the soil moisture retrieval model was conducted, and the in situ soil moisture was used to analyze the accuracy of the simulated soil moisture, which found that the soil moisture retrieval accuracy is the highest under VWC vegetation index, and the coefficient of determination is 0.76. The results show that the soil moisture retrieval model conducted on the Dubois model and ratio model is feasible.
英文关键词	sentinel-1 microwave remote sensing Dubois model topp model ratio model
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000543394000005
WOS关键词	RADAR BACKSCATTER MODELS ; RETRIEVAL ; SAR ; DUBOIS ; CORN ; IEM ; OH
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
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/2XILL650/319746
作者单位	1.Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; 2.Xinjiang Univ, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Huang, Shuai,Ding, Jianli,Liu, Bohua,et al. The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region[J]. 新疆大学,2020,12(9).
APA	Huang, Shuai.,Ding, Jianli.,Liu, Bohua.,Ge, Xiangyu.,Wang, Jinjie.,...&Zhang, Junyong.(2020).The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region.REMOTE SENSING,12(9).
MLA	Huang, Shuai,et al."The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region".REMOTE SENSING 12.9(2020).