气候变化领域集成服务门户(CCPortal): Permafrost Soil Moisture Monitoring Using Multi-Temporal TerraSAR-X Data in Beiluhe of Northern Tibet, China

CCPortal

DOI	10.3390/rs10101577
	Permafrost Soil Moisture Monitoring Using Multi-Temporal TerraSAR-X Data in Beiluhe of Northern Tibet, China
	Wang, Chao; Zhang, Zhengjia; Paloscia, Simonetta; Zhang, Hong; Wu, Fan; Wu, Qingbai
发表日期	2018
ISSN	2072-4292
卷号	10 期号:10
英文摘要	Global change has significant impact on permafrost region in the Tibet Plateau. Soil moisture (SM) of permafrost is one of the most important factors influencing the energy flux, ecosystem, and hydrologic process. The objectives of this paper are to retrieve the permafrost SM using time-series SAR images, without the need of auxiliary survey data, and reveal its variation patterns. After analyzing the characteristics of time-series radar backscattering coefficients of different landcover types, a two-component SM retrieval model is proposed. For the alpine meadow area, a linear retrieving model is proposed using the TerraSAR-X time-series images based on the assumption that the lowest backscattering coefficient is measured when the soil moisture is at its wilting point and the highest backscattering coefficient represents the water-saturated soil state. For the alpine desert area, the surface roughness contribution is eliminated using the dual SAR images acquired in the winter season with different incidence angles when retrieving soil moisture from the radar signal. Before the model implementation, landcover types are classified based on their backscattering features. 22 TerraSAR-X images are used to derive the soil moisture in Beiluhe, Northern Tibet with different incidence angles. The results obtained from the proposed method have been validated using in-situ soil moisture measurements, thus obtaining RMSE and Bias of 0.062 cm(3)/cm(3) and 4.7%, respectively. The retrieved time-series SM maps of the study area point out the spatial and temporal SM variation patterns of various landcover types.
英文关键词	permafrost; soil moisture; SAR; multi-mode; Tibet
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	SYNTHETIC-APERTURE RADAR ; SURFACE-ROUGHNESS ; SAR DATA ; L-BAND ; EMPIRICAL-MODEL ; PLATEAU ; ASAR ; RETRIEVAL ; IMAGES ; SERIES
WOS记录号	WOS:000448555800077
来源期刊	REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/240316
作者单位	[Wang, Chao; Zhang, Zhengjia; Zhang, Hong; Wu, Fan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; [Wang, Chao; Zhang, Zhengjia] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Zhang, Zhengjia] China Univ Geosci, Facaulty Informat Engn, Wuhan 430074, Hubei, Peoples R China; [Paloscia, Simonetta] CNR IFAC, Inst Appl Phys, Natl Res Council, I-50019 Florence, Italy; [Wu, Qingbai] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chao,Zhang, Zhengjia,Paloscia, Simonetta,et al. Permafrost Soil Moisture Monitoring Using Multi-Temporal TerraSAR-X Data in Beiluhe of Northern Tibet, China[J]. 中国科学院西北生态环境资源研究院,2018,10(10).
APA	Wang, Chao,Zhang, Zhengjia,Paloscia, Simonetta,Zhang, Hong,Wu, Fan,&Wu, Qingbai.(2018).Permafrost Soil Moisture Monitoring Using Multi-Temporal TerraSAR-X Data in Beiluhe of Northern Tibet, China.REMOTE SENSING,10(10).
MLA	Wang, Chao,et al."Permafrost Soil Moisture Monitoring Using Multi-Temporal TerraSAR-X Data in Beiluhe of Northern Tibet, China".REMOTE SENSING 10.10(2018).