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Validation of crop evapotranspiration products based on eddy-covariance flux observations

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northen China, Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences, Beijing 100081, China

  • Email：liumeng01@caas.cn
  • Introduction：刘萌，研究方向为地表蒸散发遥感反演。E-mail： liumeng01@caas.cn
LIU Meng1,  
  • Affiliation：

    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

PENG Zhong23,  
  • Affiliation：

    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

HUANG Lingxiao23,  
  • Affiliation：

    State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northen China, Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences, Beijing 100081, China

LI Zhaoliang1,  
  • Affiliation：

    State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northen China, Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences, Beijing 100081, China

DUAN Sibo1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：tangrl@lreis.ac.cn
  • Introduction：唐荣林，研究方向为地表蒸散发遥感反演、遥感大数据分析。E-mail：tangrl@lreis.ac.cn
TANG Ronglin23*

Resümee

Crop evapotranspiration (ET) with high precision is of great significance for the accurate quantification of water balance and the study of water deficit in the field-scale, and it has practical value for the precision irrigation of farmland and the improvement of agricultural water use efficiency. It is essential to validate ET before a remotely sensed ET product being used. This study evaluated crop ETs from two remotely sensed products (MOD16 and PML-V2) with 500 m spatial resolution and 8-day temporal resolution by using Eddy-Covariance (EC) flux observations from 28 flux tower sites cover with crop globally. The results showed that, compared with the observed ET, the Root Mean Square Error (RMSE) and bias of the PML-V2 ET products varied from 3.3 to 22.4 mm/8 d and from 15.98 to 13.27 mm/8 d, respectively, while the RMSE and bias of the MOD16 ET product varied from 3.81 to 21.47 mm/8 d and from -16.42 to 15.05 mm/8 d, respectively. On the whole, the overall accuracies of these two products were similar, the MOD16 product underestimated the 8-day ET with a bias of -2.31 mm/8 d, a R2 of 0.452 and a RMSE of 8.82 mm/8 d, while the PML-V2 product slightly overestimated the 8-day ET with a bias of 0.51 mm/8 d, a R2 of 0.455 and a RMSE of 8.81 mm/8 d. The PML-V2 product performed better at 18 tower sites (almost 64%), but the MOD16 product performed better than the PML-V2 products at some sites in the depiction of details on time-series change (such as the season of reaching the peak during the year, the decreasing and increasing trend in the middle of year). The results showed that the PML-V2 product failed to capture the gradual decrease then increase ET trend in the middle of year which caused by the rotation of winter wheat and summer maize, while the MOD16 product successfully captured the hitting of the two peaks in ET time-series during the two growth seasons of winter wheat and summer maize (such as the Luancheng and Yucheng sites). However, the MOD16 product still underestimated the 8-day ET of winter wheat to a certain degree. Moreover, the results showed that both the MOD16 product and the PML-V2 product seriously underestimated the 8-day ET of paddy with a RMSE of 21.47—22.4 mm/8 d and a bias of -16.42—-15.98 mm/8 d (such as the US-Twt site). This study could provide reference for the development and validation of ET models for cropland. In the future, more detailed evaluation of land surface heterogeneity needs to be carried out and more products should be taken into consideration. Further detailed evaluation of ET in different crop types is also required.

Schlüsselwort

remote sensing;MOD16 product;PML-V2 product;crop evapotranspiration;Validation

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