Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data

	Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data
	Zhang, Tao 1; Jiang, Lingmei 1; Chai, Linna 1; Zhao, Tianjie 1; Wang, Qi 1
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2015
卷号	12 期号:5 页码:3670-3689
关键词	Passive microwave remote sensing soil moisture
通讯作者	Jiang, LM (reprint author), Beijing Normal Univ, Res Ctr Remote Sensing & GIS, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
英文摘要	Determination of the component soil moisture content within one pixel using passive microwave remote sensing data is important for predicting soil moisture contents in ecohydrological research within the Heihe River Basin. The Heihe Watershed Allied Telemetry Experimental Research was conducted in 2012 to address this issue. An airborne polarimetric L-band microwave radiometer (PLMR) instrument was used to measure surface emissions over the middle stream of the Heihe River Basin. Extensive ground-based soil moisture content and temperature data were obtained during the PLMR flights. In this letter, an algorithm for estimating the component soil moisture content was developed using biangular PLMR observations. Based on a theoretical analysis, the linear relationship between the soil emissivities at two different incidence angles was obtained. Therefore, the component soil moisture could be derived based on the tau-omega model. In addition, the component soil moisture contents determined over the bare surface were lower than those over the vegetated surface. The root-mean-square errors between the calculated soil moisture contents and the measured soil moisture contents over the bare and vegetated surfaces were 0.050 and 0.051 cm(3)/cm(3), respectively. Overall, the results indicate that the component soil moisture contents can be estimated using biangular observations from airborne radiometer data.
研究领域[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000351412200046
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38449]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Zhang, Tao 2.Jiang, Lingmei 3.Chai, Linna 4.Wang, Qi] Beijing Normal Univ, Res Ctr Remote Sensing & GIS, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 5.[Zhang, Tao 6.Jiang, Lingmei 7.Chai, Linna 8.Wang, Qi] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 9.[Zhao, Tianjie] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Tao,Jiang, Lingmei,Chai, Linna,et al. Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(5):3670-3689.
APA	Zhang, Tao,Jiang, Lingmei,Chai, Linna,Zhao, Tianjie,&Wang, Qi.(2015).Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(5),3670-3689.
MLA	Zhang, Tao,et al."Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.5(2015):3670-3689.