期刊文献+

GNSS-R测量地表土壤湿度的地基实验 被引量:58

Ground based GNSS-R observations for soil moisture
下载PDF
导出
摘要 应用地基GNSS-R测量土壤湿度,相比空基而言,反射信号接收天线安装位置低,反射区面积小,反射区域内土壤构成成分一致,可以克服空基实验带来的反射区面积大、反射区内土壤地貌复杂的因素,有利于提高反演的精度.本文介绍了地基GNSS-R反演土壤湿度的原理和方法.首先通过归一化处理消除电离层和中性大气对信号强度的影响,然后利用光滑地表散射模型和土壤介电常数模型反演土壤湿度.为验证GNSS-R反演结果的精度,利用配置右旋天线和左旋天线的GNSS-R接收机在武汉华中农业大学试验田开展地基GNSS-R测量土壤湿度实验,用土壤湿度计(TDR)与GNSS-R一起进行了联合观测,对实测数据进行分析和统计,在低洼区和平整区观测的对比结果表明,利用多颗高仰角卫星进行联合反演,减小了单颗星反演的误差.实验证明地基实验对于GNSS-R土壤湿度的定量反演研究具有重要作用,其也为利用GNSS-R技术构建大范围的土壤湿度监测网提供了可能性. The ground-based GNSS-R experiments are more favorable than the airborne experiments for research. Since the antennas are set low in ground-based experiments, the reflecting areas are much smaller than that in airborne experiments, so in these small areas the soil has nearly the same soil structure including soil texture, soil moisture and soil surface roughness, then the precision of the GNSS-R inversion can be improved. In this paper, the principle of soil moisture measuring by GNSS-R is described. First the influence on reflected signal power by ionosphere and neutrosphere is eliminated by normalized processing, then the soil moisture is calculated based on geometric optics approximation and dielectric models for the soil. In order to prove the accuracy of GNSS-R observation a field experiment was completed in Wuhan, in which a soil moisture tester (Time Delay Reflectometry-TDR) was used to observe together with the GNSS-R receiver. Comparison between TDR and GNSS-R observations at different sites and times shows that the average error is small. Therefore the ground based experiment is important for quantitative retrieval of soil moisture, and it also can provide good initial conditions for widespread soil moisture monitoring if using GNSS-R receiver network.
出处 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2011年第11期2735-2744,共10页 Chinese Journal of Geophysics
基金 国家重点基础研究发展计划(973计划)(2011CB707101) 中国博士后基金和湖北省自然科学基金(2010CDB08606)共同资助
关键词 GNSS-R 土壤湿度 地基实验 土壤介电常数 GNSS-R, Soil moisture, Ground based experiment, Soil dielectric constant
  • 相关文献

参考文献20

  • 1Rodriguez-Alvarez N, Bosch-Lluis X, Camps A, et al. Soilmoisture retrieval using GNSS-R techniques: Experimental results over a bare soil field. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(11) : 3616-3624.
  • 2Grant M S, Acton S T, Katzberg S J. Terrain moisture classification using GPS surface-reflected signals. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 41-45.
  • 3Walker J P, Kim E J, England A W. Introduction to the special issue on airborne field campaigns for soil moisture. IEEE Geoscience and Remote Sensing Letters, 2009, 6 (4): 623-624.
  • 4Lie-Chung S, Jyh Ching J, Ching Lang T, et al. Stream soil moisture estimation by reflected GPS signals with ground truth measurements. IEEE Transactions on Instrumentation and Measurement, 2009, 58(3) : 730-737.
  • 5王迎强,严卫,符养,栾毅.机载GPS反射信号土壤湿度测量技术[J].遥感学报,2009,13(4):670-685. 被引量:20
  • 6毛克彪,王建明,张孟阳,周清波,马柱国.GNSS-R信号反演土壤水分研究分析[J].遥感信息,2009,31(3):92-97. 被引量:8
  • 7宫晓艳,胡雄,吴小成,张训械.大气掩星反演误差特性初步分析[J].地球物理学报,2007,50(4):1017-1029. 被引量:25
  • 8毕研盟,毛节泰,刘晓阳,符养,李成才.应用地基GPS遥感倾斜路径方向大气水汽总量[J].地球物理学报,2006,49(2):335-342. 被引量:44
  • 9Jacobs E, Stacey J M. Atmospheric Attenuation Models forSatellite-To-Earth I.inks. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(1) : 144-149.
  • 10Ulaby F T, Moore R K, Fung A K. Microwave Remote Sensing, Volume I, Microwave Remote Sensing Fundamentals and Radiometry. Addison-Wesley Publishing Company, 1981.

二级参考文献66

共引文献100

同被引文献495

引证文献58

二级引证文献257

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部