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《Remote Sensing Technology and Application》 2012-02
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Research on Crop Biomass Monitoring Using GNSS-R Technique based on Bi-Mimics Model

Wu Xuerui1,2,3,Li Ying1,Li Chuanlong1(1.Institute of Environment Information,Dalian Maritime Universtiy,Dalian 116026,China; 2.Department of Environment Resources and Management;Chifeng College,Chifeng 024000,China; 3.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing Normal University Beijing 100875,China)  
GNSS-R(GNSS-Reflectometry) remote sensing is a kind of bistatic radar model.Mimics(Michigan Microwave Canopy Scattering)model is based on first-order radiative transfer equation.It is developed to Bi-Mimics(Bistatic-Mimics)model according to bistatic radar configuration.Bi-Mimics model is adapted to crop bistatic scattering model.In this model,the trunk layer is eliminated and the interactions between the trunk layer and ground layer are canceled.Using this model,numerical simulations about scattering properties at GNSS-R working L-band have been carried out.According to GNSS-R configurations,relationship between specular scattering coefficients and crop biomass is also simulated.And the bistatic radar equation is used to simulate the relationship between crop stem biomass and GNSS-R receiver signals.The simulations indicated that GNSS-R is a kind of technique to monitor crop biomass theoretically,but it needs to be further studied.
【Fund】: 遥感科学国家重点实验室开放基金项目(OFSLRSS201010)“基于物理模型的GNSS-R土壤水分反演算法研究”;; 辽宁省自然科学基金项目(2010010111-401)“GNSS-R微波遥感海冰监测”;; 国家自然科学基金青年基金项目(41101333)“联合车载微波辐射计测量数据和理论模型的农田辐射特征研究”
【CateGory Index】: S127;TP79
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【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 Wu Jizhong1) and Yang Ronghua2) 1)College of Geomatics Engineering,Nanjing University of Technology,Nanjing 2100092)College of Civil Engineering,Chongqing University,Chongqing 400045;MEASURING WATER SURFACE HEIGHT BY USING REFLECTED SIGNAL OF GEODETIC-QUALITY GPS RECEIVER[J];Journal of Geodesy and Geodynamics;2012-06
2 NING Jin-sheng1,2,YAO Yi-bin1,ZHANG Xiao-hong1 (1.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;2.Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University,Wuhan 430079,China);Review of the Development of Global Satellite Navigation System[J];Journal of Navigation and Positioning;2013-01
3 AO Minsi,HU Youjian,LIU Yadong,ZENG Yun,WU Zheng(Faculty of Information and Engineering,China University of Geosciences,Wuhan 430074,China);Inversion of Soil Moisture Fluctuation Based on Signal-to-Noise Ratio of Global Positioning System[J];Journal of Geomatics Science and Technology;2012-02
4 WAN Wei 1 , LI Huang 2 , CHEN Xiuwan 1 , LUO Peng 1 , and WAN Jiahuan 1 , 3 1 Institute of Remote Sensing and GIS, Peking University, Beijing 100871 2 Meteorological Observation Center of China Meteorological Administration, Beijing 100081 3 92292 Troops PLA, Qingdao 266405;Preliminary Calibration of GPS Signals and Its Effects on Soil Moisture Estimation[J];气象学报(英文版);2013-02
5 LIU Yadong;HU Youjian;AO Minsi;Jiangcheng College,China University of Geosciences;Faculty of Geodesy and Geomatics,China University of Geosciences;School of Geosciences and Info Physics,Central South University;;GPS Processing System Design and Implementation in Remote Sensing of Soil Moisture[J];GNSS World of China;2013-04
6 WANG Ying-qiang1, YAN Wei1, FU Yang2, LUAN Yi3 1. Institute of Meteorology, PLA University of Science & Technology, Jiangsu Nanjing 211101, China; 2. Beijing Institute of Applied Meteorology, Beijing 100029, China; 3. 96631 Troops, Beijing 102208, China;Soil moisture determination of reflected GPS signals from aircraft platform[J];Journal of Remote Sensing;2009-04
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