基于GNSS-R的裸土圆极化散射特性研究

吴学睿; 欧阳馨秋; 王芳; 马文骁

doi:10.13700/j.bh.1001-5965.2019.0553

基于GNSS-R的裸土圆极化散射特性研究

doi: 10.13700/j.bh.1001-5965.2019.0553

吴学睿^{1, 2, 3, 4},
欧阳馨秋⁵,
王芳^6, ,,
马文骁^{1, 2, 3}

1.
中国科学院上海天文台, 上海 200030
2.
上海市空间导航与定位技术重点实验室, 上海 200030
3.
中国科学院行星科学重点实验室, 上海 200030
4.
赤峰学院资源环境与建筑工程学院, 赤峰 024000
5.
中山大学地理科学与规划学院, 广州 510275
6.
中国交通通信信息中心, 北京 100011

基金项目:

国家自然科学基金 41501384

详细信息

作者简介:
吴学睿女, 博士, 副研究员。主要研究方向:GNSS-R遥感原理及应用

王芳女, 博士, 副教授。主要研究方向:微波遥感散射模型机理及应用

通讯作者:
王芳, E-mail: wangfang@cttic.cn

中图分类号: V221⁺.3;TB553
计量
- 文章访问数: 441
- HTML全文浏览量: 94
- PDF下载量: 53
- 被引次数: 0
出版历程
- 收稿日期: 2019-10-23
- 录用日期: 2019-12-06
- 网络出版日期: 2020-10-20

Bare soil circular polarization scattering properties for GNSS-R applications

WU Xuerui^{1, 2, 3, 4},
OUYANG Xinqiu⁵,
WANG Fang^{6
, ,},
MA Wenxiao^{1, 2, 3}

1.
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
2.
Key Laboratory of Space Navigation and Position Technology, Shanghai 200030, China
3.
Key Laboratory of Planetary Sciences, Chinese Academy of Sciences, Shanghai 200030, China
4.
School of Resources, Environment and Architectural Engineering, Chifeng University, Chifeng 024000, China
5.
School of Geograghy and Planning, Sun Yat-Sen University, Guangzhou 510275, China
6.
China Transport Telecommunications&Information Center, Beijing 100011, China

Funds:

National Natural Science Foundation of China 41501384

More Information

Corresponding author: WANG Fang, E-mail: wangfang@cttic.cn

摘要

摘要:
GNSS-R是利用导航卫星的反射信号对地物参数进行遥感的新兴对地观测方式。针对其特有的圆极化散射方式，以双站散射的高级积分方程模型为工具，利用极化合成的方法将随机粗糙地表面圆极化散射模型转换为可以计算各种极化的微波散射模型。重点模拟分析了不同土壤水分含量下，裸土在不同观测几何时的圆极化散射特性。随机粗糙地表面圆极化散射模型的发展在某种程度上填补了GNSS-R领域机理模型的空缺，为后续土壤水分的进一步反演提供了机理工具。
- GNSS-R /
- 土壤水分 /
- 极化 /
- 随机粗糙面散射模型 /
- 观测几何
Abstract:
GNSS-R is a new way of earth observation that uses the reflected signals of navigation satellites to remotely sense the geophysical parameters. Its unique feature is the circular polarization scattering. This paper employs the advanced integral equation model of bistatic scattering as a tool, and uses polarization synthesis to convert the random rough surface scattering model into a microwave scattering model that can calculate various polarizations. Simulation and analysis of the circular polarization scattering characteristics of bare soil under different observation geometries and different soil moisture contents are carried out. To some extent, the development of the random rough surface circular polarization scattering model fills the gap in the GNSS-R mechanism, and provides a tool for the subsequent further inversion of soil moisture.
- GNSS-R /
- soil moisture /
- polarization /
- random rough surface scattering model /
- observation geometry

HTML全文

图 1 土壤介电常数实部和虚部随土壤水分体积含量变化关系

Figure 1. Real part and imaginary part of soil permittivity versus volumetric soil moisture

下载: 全尺寸图片幻灯片

图 2 圆极化和线极化随土壤水分体积含量变化关系

Figure 2. Circular polarization and linear polarization versus volumetric soil moisture

下载: 全尺寸图片幻灯片

图 3 非相干散射时圆极化和线极化随土壤水分体积含量百分比变化关系

Figure 3. Circular polarization and linear polarization versus volumetric soil moisture at noncoherent scattering

下载: 全尺寸图片幻灯片

图 4 RR和RL极化相干和非相干散射特性随入射角度变化

Figure 4. Coherent and noncoherent scattering properties of RR and RL polarization versus incidence angles

下载: 全尺寸图片幻灯片

图 5 不同极化BRCS随散射方位角的变化关系

Figure 5. Various polarization BRCS versus scattering azimuth angles

下载: 全尺寸图片幻灯片

图 6 不同极化BRCS随散射天顶角的变化关系

Figure 6. Various polarization BRCS versus scattering zenith angles

下载: 全尺寸图片幻灯片

参考文献(25)

[1]	WOOD E F.Global scale hydrology:Advances in land surface modeling[J].Reviews of Geophysics, 1991, 29(S1):193-201. doi: 10.1002/rog.1991.29.s1.193
[2]	KERR Y H, WALDTEUFEL P, WIGNERON J P, et al.Soil moisture retrieval from space:The soil moisture and ocean salinity (SMOS) mission[J].IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(8):1729-1735. doi: 10.1109/36.942551
[3]	ENTEKHABI D, NJOKU E G, O'NEILL P E, et al.The soil moisture active passive (SMAP) mission[J].Proceedings of the IEEE, 2010, 98(5):704-716. doi: 10.1109/JPROC.2010.2043918
[4]	ZAVOROTNY V U, GLEASON S, CARDELLACH E, et al.Tutorial on remote sensing using GNSS bistatic radar of opportunity[J].IEEE Geoscience and Remote Sensing Magazine, 2014, 2(4):8-45. doi: 10.1109/MGRS.2014.2374220
[5]	CARDELLACH E, FABRA F, NOGUES-CORREIG O, et al.GNSS-R ground-based and airborne campaigns for ocean, land, ice, and snow techniques:Application to the GOLD-RTR data sets[J].Radio Science, 2011, 46(6):1-16. doi: 10.1029/2011RS004683
[6]	CHEW C, SHAH R, ZUFFADA C, et al.Demonstrating soil moisture remote sensing with observations from the UK TechDemoSat-1 satellite mission[J].Geophysical Research Letters, 2016, 43(7):3317-3324. doi: 10.1002/2016GL068189
[7]	CHEW C C, SMALL E E.Soil moisture sensing using spaceborne GNSS reflections:Comparison of CYGNSS reflectivity to SMAP soil moisture[J].Geophysical Research Letters, 2018, 45(9):4049-4057. doi: 10.1029/2018GL077905
[8]	吴学睿, 李颖.GNSS-R陆面遥感中反射信号的极化特性研究[J].地球科学进展, 2012, 27(8):895-900. http://www.cnki.com.cn/Article/CJFDTotal-DXJZ201208008.htm WU X R, LI Y.GNSS-R land remote sensing about reflected signal's polarization characteristics[J].Advances in Earth Science, 2012, 27(8):895-900(in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-DXJZ201208008.htm
[9]	WU X, JIN S.GNSS-Reflectometry:Forest canopies polarization scattering properties and modeling[J].Advances in Space Research, 2014, 54(5):863-870. doi: 10.1016/j.asr.2014.02.007
[10]	MASTERS D, AXELRAD P, KATZBERG S.Initial results of land-reflected GPS bistatic radar measurements in SMEX02[J].Remote Sensing of Environment, 2004, 92(4):507-520. doi: 10.1016/j.rse.2004.05.016
[11]	KATZBERG S J, TORRES O, GRANT M S, et al.Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant:Results from SMEX02[J].Remote Sensing of Environment, 2006, 100(1):17-28. doi: 10.1016/j.rse.2005.09.015
[12]	ZAVOROTNY V, MASTERS D, GASIEWSKI A, et al.Seasonal polarimetric measurements of soil moisture using tower-based GPS bistatic radar[C]//IEEE International Geoscience & Remote Sensing Symposium.Piscataway: IEEE Press, 2003: 7962360. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1293916
[13]	RODRIGUEZ-ALVAREZ N, BOSCH-LLUIS X, CAMPS A, et al.Soil moisture retrieval using GNSS-R techniques:Experimental results over a bare soil field[J].IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(11):3616-3624. doi: 10.1109/TGRS.2009.2030672
[14]	RODRIGUEZ-ALVAREZ N, CAMPS A, VALL-LLOSSERA M, et al.Land geophysical parameters retrieval using the interference pattern GNSS-R technique[J].IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1):71-78. doi: 10.1109/TGRS.2010.2049023
[15]	RODRIGUEZ-ALVAREZ N, MARCHAN-HERNANDEZ J F, CAMPS A, et al.Soil moisture retrieval using GNSS-R techniques: Measurement campaign in a wheat field[C]//IEEE International Geoscience and Remote Sensing Symposium.Piscataway: IEEE Press, 2009: 10445297. http://ieeexplore.ieee.org/document/4778973/
[16]	ALONSO-ARROYO A, CAMPS A, AGUASCA A, et al.Improving the accuracy of soil moisture retrievals using the phase difference of the dual-polarization GNSS-R interference patterns[J].IEEE Geoscience and Remote Sensing Letters, 2014, 11(12):2090-2094. doi: 10.1109/LGRS.2014.2320052
[17]	EGIDO A, PALOSCIA S, MOTTE E, et al.Airborne GNSS-R polarimetric measurements for soil moisture and above-ground biomass estimation[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(5):1522-1532. doi: 10.1109/JSTARS.2014.2322854
[18]	JIA Y, SAVI P.Sensing soil moisture and vegetation using GNSS-R polarimetric measurement[J].Advances in Space Research, 2017, 59(3):858-869. doi: 10.1016/j.asr.2016.11.028
[19]	HSIEH C Y.Polarimetric bistatic scattering from random rough surfaces along azimuth angle[C]//International Conference on Microwave & Millimeter Wave Technology.Piscataway: IEEE Press, 1999: 591-594. doi: 10.1002/(SICI)1098-2760(20000520)25:4%3C271::AID-MOP14%3E3.0.CO;2-A/pdf
[20]	VORONOVICH A G, ZAVOROTNY V U.Full-polarization modeling of monostatic and bistatic radar scattering from a rough sea surface[J].IEEE Transactions on Antennas and Propagation, 2014, 62(3):1362-1371. doi: 10.1109/TAP.2013.2295235
[21]	HALLIKAINEN M T.Microwave dielectric behavior of wet soil.Part I:Empirical models and experimental observations[J].IEEE Transactions on Geoscience and Remote Sensing, 1985, 23(1):25-34. doi: 10.1109/tgrs.1985.289497
[22]	DOBSON M C.Microwave dielectric behavior of wet soil.Part Ⅱ:Dielectric-mixing models[J].IEEE Transactions on Geoscience and Remote Sensing, 1985, 23(1):35-46. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4072240
[23]	FUNG A K.Microwave scattering and emission models and their applications[M].Norwood:Artech House, 1994.
[24]	CHEN K, WU T, TSANG L.Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations[J].IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(1):90-101. doi: 10.1109/TGRS.2002.807587
[25]	ULABY F T, ELACHI C.Radar polarimetry for geoscience applications[M].Norwood:Artech House, 1990.