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Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data

Author

Listed:
  • Liming Zhu

    (College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China
    Foundation of Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou 239099, China
    Henan Key Laboratory of Agrometeorological Ensuring and Applied Technique, China Meteorological Administration (CMA), Zhengzhou 450003, China)

  • Huifeng Wu

    (College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China)

  • Min Li

    (College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China)

  • Chaoyin Dou

    (College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China)

  • A-Xing Zhu

    (Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210046, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210046, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210046, China
    Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA)

Abstract

Accurate irrigation water-use data are essential to agricultural water resources management and optimal allocation. The obscuration presented by ground cover in farmland and the subjectivity of irrigation-related decision-making processes mean that effectively identifying regional irrigation water use remains a critical problem to be solved. In view of the advantages of satellite microwave remote sensing in monitoring soil moisture, previous studies have proposed a method for estimating irrigation water use using the satellite microwave remote sensing of soil moisture. However, the method is affected by false irrigation signals from soil moisture increases caused by non-irrigation factors, causing irrigation water use to be overestimated. Therefore, the purpose of this study is to improve the estimation of irrigation water use in drylands by using irrigation signals from SMAP soil moisture data. In this paper, the irrigation water use in Henan Province is estimated by using the irrigation signals from SMAP (soil moisture active and passive) soil moisture data. Firstly, a method for recognizing irrigation signals in soil moisture data obtained by microwave satellite remote sensing was used. Then, an estimation model of the amount of irrigation water (SM2Rainfall model) was built on each data pixel of the satellite microwave remote sensing of soil moisture. Finally, the amount of irrigation water utilized in Henan Province was estimated by combining the irrigation signals and irrigation water-use estimation model, and the results were evaluated. According to the findings, this study improved the estimation accuracy of irrigation water use by using the irrigation signals in Henan Province. The result of this study is of great importance to accurately obtain irrigation water use in the region.

Suggested Citation

  • Liming Zhu & Huifeng Wu & Min Li & Chaoyin Dou & A-Xing Zhu, 2023. "Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data," Agriculture, MDPI, vol. 13(9), pages 1-17, August.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1709-:d:1228323
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