A 3-D Full-Wave Model to Study the Impact of Soybean Components and Structure on L-Band Backscatter

被引:0
作者
Niknam, Kaiser [1 ]
Judge, Jasmeet [1 ]
Roberts, A. Kaleo [2 ]
Monsivais-Huertero, Alejandro [3 ]
Moore, Robert C. [4 ]
Sarabandi, Kamal [2 ]
Wu, Jiayi [1 ]
机构
[1] Univ Florida, Inst Food & Agr Sci, Ctr Remote Sensing, Dept Agr & Biol Engn, Gainesville, FL 32611 USA
[2] Univ Michigan, Dept Elect & Comp Engn, Ann Arbor, MI 48109 USA
[3] Inst Politecn Nacl, Escuela Super Ingn Mecan & Electr, Mexico City 07340, Mexico
[4] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
关键词
Backscatter; Computational modeling; Solid modeling; Scattering; Crops; Soil; Vegetation mapping; 3-D backscatter; ANSYS high-frequency structure simulator (HFSS); computational electromagnetics (EM); radar backscatter; SMAPVEX12; SMAPVEX16-MicroWEX; soybean; VEGETATION WATER-CONTENT; SOIL-MOISTURE; ELECTROMAGNETIC SCATTERING; MICROWAVE BACKSCATTER; CORN; CANOPY; PROPAGATION; RETRIEVAL; ROUGHNESS; INDEX;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Microwave remote sensing offers a powerful tool for monitoring the growth of short, dense vegetation such as soybeans. As the plants mature, changes in their biomass and 3-D structure impact the electromagnetic (EM) backscatter signal. This backscatter information holds valuable insights into crop health and yield, prompting the need for a comprehensive understanding of how structural and biophysical properties of soybeans as well as soil characteristics contribute to the overall backscatter signature. In this study, a full-wave model is developed for simulating L-band backscatter from soybean fields. Leveraging the ANSYS high-frequency structure simulator (HFSS) framework, the model solves for the scattering of EM waves from realistic 3-D structural models of soybean, explicitly incorporating the interplant scattering effects. The model estimates of backscatter match well with the field observations from the SMAPVEX16-MicroWEX and SMAPVEX12, with average differences of 1-2 dB for co-pol and less than 4 dB for cross-pol. Furthermore, the model effectively replicates the temporal dynamics of crop backscatter throughout the growing season. The HFSS analysis revealed that the stems, pods, and soil are the primary contributors to HH-pol backscatter, while the branches contribute to VV-pol, and leaves impact the cross-pol signatures. In addition, a sensitivity study with a 3-D bare soil surface resulted in an average variation of 8 dB in co- and cross-pol, even when the root-mean-square height and correlation length were held constant. These capabilities underscore the model's potential to provide insights into the underlying dynamics of the backscatter for growing vegetation.
引用
收藏
页码:13089 / 13107
页数:19
相关论文
共 64 条
  • [61] Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests
    Yu, Yifan
    Saatchi, Sassan
    [J]. REMOTE SENSING, 2016, 8 (06)
  • [62] Yuan-Yuan Zhang, 2016, Progress In Electromagnetics Research B, V67, P121
  • [63] Zhou R., 2021, P 34 GEN ASS SCI S I, P1
  • [64] The backscattering contribution of soybean pods at L-band
    Zhou, Yiwen
    Sharma, Avinash
    Kurum, Mehmet
    Lang, Roger H.
    O'Neill, Peggy E.
    Cosh, Michael H.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2020, 248