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Estimation and Validation of Actual Evapotranspiration (ET a ) of Maize Wheat Cropping System Using SSEBop Model Over IARI Research Farm, New Delhi, India
Journal of the Indian Society of Remote Sensing ( IF 2.2 ) Pub Date : 2021-04-06 , DOI: 10.1007/s12524-021-01350-5
Joydeep Mukherjee , Anuradha Sharma , Rajkumar Dhakar , V. K. Sehgal , D. Chakraborty , D. K. Das

Evapotranspiration (ET) is an indispensable component of earth surface energy exchange studies and forms basis for various environmental applications. The present study attempts to estimate Landsat-8 satellite-based spatial distribution of crop ET using Operational Simplified Surface Energy Balance (SSEBop) model and validate through ET estimated using multilevel micrometeorological tower-based Bowen Ratio Energy Balance (BREB). The study was conducted over Indian Agricultural Research Institute farm during the summer (kharif maize) and winter (wheat) season of 2017–2018. The result of BREB showed the intra-seasonal variations in actual ET estimation ranging from maximum ET of 3.84 mm day−1 and 2.64 mm day−1 for maize and wheat during mid-stage to minimum ET of 1.88 mm day−1 for maize in maturity and 1.14 mm day−1 in an initial stage of wheat. It was observed that SSEBop slightly overestimated the crop ET; however, it showed the good agreement with BREB estimated ET (R2 = 0.76) with d-index of 0.92 and root-mean-square error of 0.48 mm day−1. It can be concluded that despite slight overestimation of ET by SSEBop, satellite-based SSEBop model can be recommended for crop ET estimation over large area and can be used for various water management studies.



中文翻译:

使用SSEBop模型对印度新德里IARI研究农场的玉米小麦种植系统的实际蒸腾量(ET a)进行评估和验证

蒸发蒸腾(ET)是地球表面能量交换研究不可或缺的组成部分,为各种环境应用奠定了基础。本研究尝试使用操作简化的表面能平衡(SSEBop)模型估算基于Landsat-8卫星的作物ET的空间分布,并通过使用多层微气象塔式Bowen比率能量平衡(BREB)估算的ET进行验证。该研究是在2017-2018年夏季(卡里夫玉米)和冬季(小麦)季节在印度农业研究所的农场上进行的。BREB的结果表明,实际ET估计值的季节内变化范围从玉米和小麦在中期的最大ET为3.84 mm day -1和2.64 mm day -1到最小ET为1.88 mm day-1用于成熟玉米和1.14毫米天-1小麦的初始阶段。据观察,SSEBop稍微高估了作物的ET。但是,它与BREB估计的ET(R 2  = 0.76)表现出良好的一致性,d指数为0.92,均方根误差为0.48 mm天-1。可以得出结论,尽管SSEBop对ET略有高估,但基于卫星的SSEBop模型仍可推荐用于大面积作物ET的估算,并可用于各种水资源管理研究。

更新日期:2021-04-06
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