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Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI

Author

Listed:
  • Changchun Xu

    (Xinjiang University)

  • Xicheng Zhang

    (Xinjiang University)

  • Jinxia Zhang

    (Xinjiang University)

  • Yapeng Chen

    (Chinese Academy of Sciences)

  • Teshome L. Yami

    (The University of Oklahoma)

  • Yang Hong

    (The University of Oklahoma)

Abstract

Estimation of crop water requirement (CWR) is key to the rational water use and agricultural water conservation in arid regions. Using remote sensing data to obtain long-term CWR over large areas helps water resources management in water-scarce areas. This study, taking the Kaidu-Kongqi River basin in arid northwest China as the study area, investigated the feasibility of synergistically using phenological characteristics, Savitzky-Golay filter, harmonic analysis and decision tree to extract crop planting structures (CPS) from MODIS EVI, and meanwhile analyzed the spatiotemporal variation in the estimated CWR. The results show that the integrated method for CPS identification and extraction is feasible and reliable with the classification accuracy over 80%. The mid-season stage requires the most water and cash crops need more water than cereal crops. Summer accounts for 69% the total growing season water use. The significant increase in the area of high water demand crops such as cotton raised the total CWR of the basin surging from 14.91× 108m3 in 2000 to 34.92×108m3 in 2017. The spatial distribution of CWR was more related to crop types and area than to climatic conditions. Controlling the expansion of arable land and optimizing the agricultural planting structure remain important tasks for the sustainable management of water resources in the basin.

Suggested Citation

  • Changchun Xu & Xicheng Zhang & Jinxia Zhang & Yapeng Chen & Teshome L. Yami & Yang Hong, 2021. "Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2231-2247, May.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:7:d:10.1007_s11269-021-02838-y
    DOI: 10.1007/s11269-021-02838-y
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    References listed on IDEAS

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    1. Nicolas R. Dalezios & Nicholas Dercas & Nicos V. Spyropoulos & Emmanouil Psomiadis, 2019. "Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1499-1519, March.
    2. Wang, Jianqing & Liu, Xiaoyu & Cheng, Kun & Zhang, Xuhui & Li, Lianqing & Pan, Genxing, 2018. "Winter wheat water requirement and utilization efficiency under simulated climate change conditions: A Penman-Monteith model evaluation," Agricultural Water Management, Elsevier, vol. 197(C), pages 100-109.
    3. Narendra Gontia & Kamlesh Tiwari, 2010. "Estimation of Crop Coefficient and Evapotranspiration of Wheat (Triticum aestivum) in an Irrigation Command Using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1399-1414, May.
    4. Alireza Sharifi & Yagob Dinpashoh, 2014. "Sensitivity Analysis of the Penman-Monteith reference Crop Evapotranspiration to Climatic Variables in Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5465-5476, December.
    5. Kamali, Mohammad Ismaeil & Nazari, Rouzbeh, 2018. "Determination of maize water requirement using remote sensing data and SEBAL algorithm," Agricultural Water Management, Elsevier, vol. 209(C), pages 197-205.
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    Cited by:

    1. Jiaxin Sun & Liwen Chen & Peng Qi & Guangxin Zhang, 2024. "Agricultural Irrigation Water Requirement and Its Response to Climatic Factors Based on Remote Sensing and Single Crop Coefficient Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(13), pages 5215-5233, October.
    2. Liu, Yunfei & Gui, Dongwei & Chen, Xiaoping & Liu, Qi & Zeng, Fanjiang, 2024. "Sap flow characteristics and water demand prediction of cash crop in hyper-arid areas," Agricultural Water Management, Elsevier, vol. 295(C).

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