4.7 Article

Soil moisture estimation based on the microwave scattering mechanism during different crop phenological periods in a winter wheat-producing region

Journal

JOURNAL OF HYDROLOGY
Volume 590, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2020.125521

Keywords

Soil moisture; Semiempirical model; Winter wheat coverage area; Microwave scattering model; Crop growth stage

Funding

  1. National Natural Science Foundation of China [41801286, 41871353, 41921001, 41871358]
  2. Young Elite Scientists Sponsorship Program by the China Association for Science and Technology (CAST) [2018CAASS04]
  3. Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs [201708]
  4. Fundamental Research Funds for Central Non-profit Scientific Institutions [1610132019026]
  5. Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAAS)
  6. Outstanding Talents and Innovative Team of Agricultural Scientific Research, Ministry of Agriculture and Rural Affairs
  7. STFC [ST/V001388/1, ST/N006798/1] Funding Source: UKRI

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In this research, a novel microwave scattering model-based semiempirical method for estimating the soil moisture of areas covered with winter wheat was proposed. In the proposed soil moisture estimation method, the crop and soil microwave scattering mechanisms during different crop phenological periods were considered to remove the influences of the wheat crop canopy on soil backscattering. Using RADARSAT-2 images and field-measured sample data, the validity and feasibility of the proposed soil moisture estimation method were verified in the study region of Hengshui City in the North China Plain. Among the winter wheat jointing stage, heading stage and maturity stage, the R-2, adjusted R-2 and RMSE values between the estimated soil moisture value and field-measured value were 0.762, 0.762 and 2.36%, respectively. The results indicate that high-accuracy soil moisture estimations could be obtained, and the proposed method had good performance in regional applications in the study region at key growth stages of winter wheat.

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