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Estimating high spatiotemporal resolution evapotranspiration over a winter wheat field using an IKONOS image based complementary relationship and Lysimeter observations

Author

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  • Yang, Guijun
  • Pu, Ruiliang
  • Zhao, Chunjiang
  • Xue, Xuzhang

Abstract

Mapping high spatiotemporal resolution evapotranspiration (ET) over large areas is important for water resources planning, precision irrigation and monitoring water use efficiency. However, both traditional field measurement and aerodynamic estimation mainly focus on obtaining local ET. Remote sensing observations usually can be used to retrieve instantaneous ET at a low spatial resolution over region or global scale. Therefore, using field measurements and high resolution image data to generate high spatiotemporal resolution ET is becoming an important research direction. In this study, the complementary relationship model (CR) was tested together with meteorological data to estimate actual ET, and the results were validated by the Lysimeter observation. Furthermore, CR model combined with high resolution IKONOS data was used to estimate instantaneous field scale ET that was then transferred to daily ET. The cumulative evapotranspiration (ET) of winter wheat during the reproductive period from March through June of 2011 was 469.12mm, essentially corresponding to the annual precipitation in the study area. The highest accuracy of estimating ET by CR model with remote sensing data was in May (R2=0.863, RMSE=0.103mm). The transferred daily ET by a self-preservation of evaporative fraction (EF) approach from the CR modeling instantaneous ET was consistent with The Lysimeter measurements for all four months, March through June, 2011 (R2=0.937, RMSE=0.668mm). The experimental results demonstrate that CR model can be used to accurately estimate actual ET with both meteorological data and high resolution remote sensing data at a regional scale.

Suggested Citation

  • Yang, Guijun & Pu, Ruiliang & Zhao, Chunjiang & Xue, Xuzhang, 2014. "Estimating high spatiotemporal resolution evapotranspiration over a winter wheat field using an IKONOS image based complementary relationship and Lysimeter observations," Agricultural Water Management, Elsevier, vol. 133(C), pages 34-43.
    • Handle: RePEc:eee:agiwat:v:133:y:2014:i:c:p:34-43
    DOI: 10.1016/j.agwat.2013.10.018
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    References listed on IDEAS

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    1. Li, Sien & Kang, Shaozhong & Li, Fusheng & Zhang, Lu & Zhang, Baozhong, 2008. "Vineyard evaporative fraction based on eddy covariance in an arid desert region of Northwest China," Agricultural Water Management, Elsevier, vol. 95(8), pages 937-948, August.
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    3. Ding, Risheng & Kang, Shaozhong & Li, Fusheng & Zhang, Yanqun & Tong, Ling & Sun, Qingyu, 2010. "Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China," Agricultural Water Management, Elsevier, vol. 98(1), pages 87-95, December.
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    1. Wu, Xun & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Shi, Jianchu & Yan, Xudong & Zhang, Hongfei & Xue, Xuzhang & Wang, Lichun & Zhang, Mo & Ben-Gal, Alon, 2017. "Root-weighted soil water status for plant water deficit index based irrigation scheduling," Agricultural Water Management, Elsevier, vol. 189(C), pages 137-147.
    2. Baik, Jongjin & Choi, Minha, 2015. "Evaluation of geostationary satellite (COMS) based Priestley–Taylor evapotranspiration," Agricultural Water Management, Elsevier, vol. 159(C), pages 77-91.
    3. Jin, Xiuliang & Yang, Guijun & Xue, Xuzhang & Xu, Xingang & Li, Zhenhai & Feng, Haikuan, 2017. "Validation of two Huanjing-1A/B satellite-based FAO-56 models for estimating winter wheat crop evapotranspiration during mid-season," Agricultural Water Management, Elsevier, vol. 189(C), pages 27-38.

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