Volume 14 Issue 3
Jun.  2025
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WU Shangrong, ZHAO Rongkun, CAO Hong, et al. Research progress on SAR inversion of crop and soil parameters based on microwave scattering theory[J]. Journal of Radars, 2025, 14(3): 735–753. doi: 10.12000/JR24260
Citation: WU Shangrong, ZHAO Rongkun, CAO Hong, et al. Research progress on SAR inversion of crop and soil parameters based on microwave scattering theory[J]. Journal of Radars, 2025, 14(3): 735–753. doi: 10.12000/JR24260
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Research Progress on SAR Inversion of Crop and Soil Parameters Based on Microwave Scattering Theory

DOI: 10.12000/JR24260 CSTR: 32380.14.JR24260
  • 1.

    State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

  • 2.

    Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Funds:  The National Natural Science Foundation of China (42271374), Youth Innovation Program of the Chinese Academy of Agricultural Sciences (Y2023QC18)
More Information
  • Corresponding author: WU Shangrong, wushangrong@caas.cn
  • Received Date: 2024-12-26
  • Rev Recd Date: 2025-04-08
    • Available Online: 2025-04-14
  • Publish Date: 2025-04-28
    Abstract
  • Crop and soil parameters serve as fundamental indicators for characterizing crop growth status and monitoring vegetation dynamics. Radar remote sensing presents unique advantages, such as all-weather and day-and-night observation capabilities, as well as insensitivity to meteorological conditions. Furthermore, the penetration ability of microwaves enhances the sensitivity to soil parameter variations beneath crop canopies, demonstrating significant potential for retrieving crop and soil parameters. This article presents a comprehensive review and analysis of inversion models used for crop and soil parameters based on the microwave scattering theory. First, it discusses the evolution of microwave scattering models from theoretical frameworks to semiempirical approaches, demonstrating key trends in theoretical advancements and methodological refinements. Subsequently, it systematically examines inversion methods for crop parameters, soil parameters, and crop-soil interactions, revealing their underlying microwave scattering mechanisms. Finally, the article discusses current model limitations and proposes future research directions aligned with emerging technological developments to provide novel insights for subsequent investigations.

     

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