Estimation of Maize Evapotranspiration Based on Field Continuous Monitoring System in Site and Sentinel-2 Data

被引：0
作者：
Jiang L. [1 ,2 ]
Cai J. [2 ,3 ]
Zhang B. [2 ,3 ]
Xu D. [2 ,3 ]
Wei Z. [2 ,3 ]
机构：
[1] College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin
[2] State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing
[3] National Center for Efficient Irrigation Engineering and Technology Research-Beijing, Beijing
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2021年 / 52卷 / 03期
关键词：
Canopy temperature; Evapotranspiration; HTEM model; Maize; Sentinel-2; data;
D O I：
10.6041/j.issn.1000-1298.2021.03.033
中图分类号：
学科分类号：
摘要：
It is a useful and powerful tool to estimate crop evapotranspiration (ET) based on remote sensing technology for evaluation of water use efficiency and precision agriculture. To improve the accuracy of estimation, field continuous monitoring system and remote sensing data of Sentinel-2 were employed here to figure up the maize evapotranspiration. The hybrid dual-source scheme and trapezoid framework-based evapotranspiration model (HTEM), was selected as ET estimating model. The experimental fields located in Zhongwei City, Ningxia Hui Autonomous Region, and the main observations of the study area were during maize growing season (from May to Aug.) in 2019. Sentinel-2 data and observed canopy temperature data were the key input data of the HTEM model. Water balance method was also used for comparisons and evaluation of remote sensed ET. Results showed that Sentinel-2 data had high spatial and temporal resolution, which can match the complex planting plots in the study area, reducing the presence of mixed pixels. Remote sensing inversion parameters fit well with ground observation data. The root mean square error (RMSE) of net radiation over study area during study period was 36.256 W/m2. Daily evapotranspiration of two maize experimental fields based on HTEM model were 4.269 mm/d and 4.339 mm/d, respectively. And total ET of study area were 525.114 mm and 533.690 mm during main growing period, respectively. The absolute error between remote sensed ET and calculated ET based on water balance method were 13.533 mm and 7.774 mm, respectively. Evaporation and transpiration can be also obtained based on HTEM model. According to the results, total transpiration of maize during study period were 363.483 mm and 358.196 mm, respectively. Water was mainly consumed by soil evaporation during the early growth phase. In the middle and late growth phase, transpiration became the main water consumption way. Thus it can be seen that Sentinel-2 data associated with site canopy temperature system would be more available in regional maize evapotranspiration estimation with high precision. These results could also provide technical support for regional crop evapotranspiration research and agricultural water management. © 2021, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码：296 / 304
页数：8
相关论文
共 28 条
  • [1] ANAPALLI S S, AHUJA L R, GOWDA P H, Et al., Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters, Agricultural Water Management, 177, 2, pp. 274-283, (2016)
  • [2] LEI H M, YANG D W., Interannual and seasonal variability in evapotranspiration and energy partitioning over an irrigated cropland in the North China Plain, Agricultural and Forest Meteorology, 150, 4, pp. 581-589, (2010)
  • [3] YANG Y T, SHANG S H, JIANG L., Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China, Agricultural and Forest Meteorology, 164, 8, pp. 112-122, (2012)
  • [4] YEBRA M, DIJK A V, LEUNING R, Et al., Evaluation of optical remote sensing of estimate actual evapotranspiration and canopy conductance, Remote Sensing of Environment, 129, 2, pp. 250-261, (2013)
  • [5] GAO Yanchun, LONG Di, Progress in models for evapotranspiration estimation using remotely sensed data, Journal of Remote Sensing, 12, 3, pp. 515-528, (2008)
  • [6] SHANG Songhao, JIANG Lei, YANG Yuting, Review of remote sensing-based assessment method for irrigation and crop water use efficiency, Transactions of the Chinese Society for Agricultural Machinery, 46, 10, pp. 81-92, (2015)
  • [7] BASTIAANSSEN W G M, MENENTI M, FEDDES R A, Et al., A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation, Journal of Hydrology, 213, 1-4, pp. 198-212, (1998)
  • [8] SU Z B., The surface energy balance system (SEBS) for estimation of turbulent heat fluxes, Hydrology and Earth System Sciences, 6, 1, pp. 85-100, (2002)
  • [9] NORMAN J M, KUSTAS W P, HUMES K S., Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature, Agricultural and Forest Meteorology, 77, 3-4, pp. 263-293, (1995)
  • [10] YANG Y T, SHANG S H., A hybrid dual source scheme and trapezoid framework based evapotranspiration model (HTEM) using satellite images: algorithm and model test, Journal of Geophysical Research: Atmospheres, 118, 5, pp. 2284-2300, (2013)
123