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Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach
Agricultural Water Management ( IF 6.7 ) Pub Date : 2022-06-15 , DOI: 10.1016/j.agwat.2022.107763
R.C. Bispo, F.B.T. Hernandez, I.Z. Gonçalves, C.M.U. Neale, A.H.C. Teixeira

The increasing pressure on water resources in agricultural areas requires the implementation of innovative tools and solutions to improve irrigation water management. Against that background, this research presents the application of a remote sensing-based methodology for estimating actual evapotranspiration (ETa) based on two-source energy balance model (TSEB) and remote sensing-water balance (RSWB) coupling for sugarcane crop in Brazil using the hybrid model Spatial EvapoTranspiration Modeling Interface (SETMI). Estimated results through SETMI and field data using the eddy covariance system (EC) considering two growing seasons were used to validate the energy balance components and ETa. In addition, the basal crop coefficient as a function of the spectral reflectance (Kcbrf) was developed through the soil-adjusted vegetation index (SAVI) and observed ET. Modeled energy balance components showed a strong correlation to the ground data from EC, with ET presenting R2 equal to 0.94 and a Pearson correlation coefficient (ρ) equal to 0.88. Regarding Kcbrf, the Kcb-SAVI relationship for sugarcane presented a high correlation with an R2 value of 0.85 and an "ρ" equal to 0.92. On average, considering the whole season, Kcb was equal to 0.75 and 0.73 for the 4th ratoon and 5th ratoon, respectively. Overall, the average Kc throughout the period was 0.73 and 0.70 for the 4th and 5th ratoons respectively, and the maximum Kc of about 1.23 for both growing seasons. On average, accumulated ETa presented 1025 mm resulting in ETa rates of 2.9 mm per day considering the two seasons. Crop water productivity (WP) obtained values similar between the seasons, averaging 12.6, 21.7, and 12.3 kg m−3 for WPp+i, WPi and WPET, respectively. The SETMI hybrid model produced suitable estimated daily ETa values over the two growing seasons through remote sensing based on the Kcb-SAVI relationship and good performance of TSEB model during the evaluated growing periods confirming the applicability of the model under tropical conditions in Brazil focusing on improving irrigation management in sugarcane crop.



中文翻译:

基于遥感的巴西甘蔗蒸发蒸腾模型采用混合方法

农业地区对水资源的压力越来越大,需要实施创新工具和解决方案来改善灌溉用水管理。在此背景下,本研究提出了基于遥感技术的巴西甘蔗作物双源能量平衡模型 (TSEB) 和遥感-水平衡 (RSWB) 耦合估算实际蒸散量 (ETa) 的应用。混合模型空间蒸发蒸腾建模接口 (SETMI)。考虑到两个生长季节,通过 SETMI 和现场数据使用涡流协方差系统 (EC) 估算的结果用于验证能量平衡分量和 ETa。此外,作为光谱反射率函数的基础作物系数(Kcbrf) 是通过土壤调整植被指数 (SAVI) 和观测 ET 开发的。模拟的能量平衡分量显示与 EC 的地面数据有很强的相关性,ET 的 R 2等于 0.94,皮尔逊相关系数 (ρ) 等于 0.88。关于 Kcbrf,甘蔗的 Kcb-SAVI 关系与 R2值为 0.85,“ρ”等于 0.92。平均而言,考虑到整个赛季,第 4 根和第 5 根的 Kcb 分别等于 0.75 和 0.73。总体而言,整个时期的平均 Kc 分别为 0.73 和 0.70 的第 4 和第 5 再生根,两个生长季节的最大 Kc 约为 1.23。平均而言,累积的 ETa 呈现 1025 毫米,导致考虑到两个季节,每天的 ETa 速率为 2.9 毫米。作物水分生产力 (WP) 获得的值在季节之间相似,WPp+i、WPi 和 WP ET的平均值分别为 12.6、21.7和 12.3 kg m -3 ,分别。SETMI 混合模型通过基于 Kcb-SAVI 关系的遥感和 TSEB 模型在评估的生长期间的良好性能,在两个生长季节产生了合适的估计日 ETa 值,证实了该模型在巴西热带条件下的适用性,重点是提高甘蔗作物的灌溉管理。

更新日期:2022-06-17
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