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Improvement in estimation of soil water deficit by integrating airborne imagery data into a soil water balance model

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International Journal of Agricultural and Biological Engineering 2017年第3期10卷 37-46页

作者： Huihui Zhang Ming Han José L.Chávez Yubin Lan water Management and Systems Research Unit USDA-ARS2150 Centre AvenueBldg.D.Fort CollinsCO80526USA Department of Civil and Environmental Engineering Colorado State UniversityCampus Delivery 1372Fort CollinsCO80523USA College of Engineering South China Agricultural University/Engineering Research Center for Agricultural Aviation Application(ERCAAA)Guangzhou 510642China

In this study,an approach that integrates airborne imagery data as inputs was used to improve the estimation of soil water deficit(SWD)for maize and sunflower grown under full and deficit irrigation *** proposed model was applied to optimize the maximum total available soil water(TAWr)by minimizing the difference between a water stress coefficient ks and crop water stress index(1-CWSI).The optimal value of maximum TAWr was then used to calibrate a soil water balance model which in turn updated the estimation of soil water *** estimates of SWD in the soil profile of both irrigated maize and sunflower fields were evaluated with the crop root zone SWD derived from neutron probe measurements and the FAO-56 SWD *** results indicated a good agreement between the estimated SWD from the proposed approach and measured SWD for both maize and *** statistical analyses indicated that the maximum TAWr estimated from CWSI significantly improved the estimates of SWD,which reduced the mean absolute error(MAE)and root mean square error(RMSE)by 40%and 44%for maize and 22%for sunflower,compared with the FAO-56 *** proposed procedure works better for crops under deficit irrigation *** the availability of higher spatial and temporal resolution airborne imagery during the growing season,the optimization procedure can be further improved.

关键词： soil water deficit soil water balance model airborne imagery total available water CWSI deficit irrigation

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