Volume 9 Issue 3
Jun.  2020
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ZHANG Dalin, YI Wei, and KONG Lingjiang. Optimal joint allocation of multijammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10(4): 595–606. doi: 10.12000/JR21071
Citation: ZHANG Wangfei, CHEN Erxue, LI Zengyuan, et al. Review of applications of radar remote sensing in agriculture[J]. Journal of Radars, 2020, 9(3): 444–461. doi: 10.12000/JR20051
shu

Review of Applications of Radar Remote Sensing in Agriculture (in English)

DOI: 10.12000/JR20051
  • 1.

    College of Forestry, Southwest Forestry University, Kunming 650224, China

  • 2.

    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

  • 3.

    Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

Funds:  The National Natural Science Foundation of China (31860240), The National Key R & D Program of China (2017YFB0502700)
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  • Corresponding author: CHEN Erxue, chenerx@caf.ac.cn
  • Received Date: 2020-04-30
  • Rev Recd Date: 2020-06-15
    • Available Online: 2020-06-28
  • Publish Date: 2020-06-01
    Abstract

  • Active radar remote sensing technology, with its capability of acquiring all-weather data, has great potential for agricultural monitoring. This technology can penetrate vegetation cover more deeply than optical sensors and has sensitivity to the shapes, structures, and dielectric constants of vegetation scatterers. In this paper, we discuss the applications of radar remote sensing in crop identification, cropland soil moisture inversion, crop growth parameter inversion, crop phenology retrieval, agricultural disaster monitoring, and crop yield estimation. We review several specific papers focusing these fields, and then describe the results obtained using information extracted from radar scatterometers and Synthetic Aperture Radar (SAR). Extracted SAR data include characterizations of backscattering, polarimetry, interferometry, and tomography. Lastly, we summarize the problems faced by radar applications in agriculture and consider the future trend of these applications.

     

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