Egypt's Nile delta area is a wealthy land for growing Egypt's principal crops such as rice. Being at the end of the Nile River the water shortage problem is very serious. Thus, water resource maintenance is necessary by tracking Actual crop evapotranspiration (ET_C). The main aim of the recent study is to evaluate the ET_C over the Mit-Yazid command area based on remote sensing methods daily and seasonally by Surface Energy Balance Algorithm for Land (SEBAL) technique using 18 Landsat 8 images during the 2017 and 2018 summer season. To evaluate the performance of SEBAL algorithm derived ETc (ET_C-SEBAL) in the same conditions, Fao-Penman-Monteith method has been used, by applying several performance criteria. The results which revealed the acceptable accuracy of SEBAL algorithms with Landsat 8 images, are adequately accurate with an appropriate estimate of ET_C's distribution across the study area with R² = 0.843% and RMSE around 0.264 mm/day. Additionally, a field water equilibrium has been assessed using the ET_C-SEBAL obtained, and the results show that the seasonal ET_C was generality provided with water surface supply by (87,5%). Moreover, a new summer crop pattern vision is assumed for agricultural cultivation to maximize the water-saving for the selected pilot study area.

埃及的尼罗河三角洲地区是种植水稻等埃及主要农作物的富裕土地。在尼罗河的尽头，缺水问题非常严重。因此，必须通过跟踪实际作物的蒸散量（ET _C）来维持水资源。最近的研究的主要目的是通过使用地面能量平衡算法（SEBAL）技术，利用2017年和2018年夏季的18幅Landsat 8图像，每天和季节性地基于遥感方法评估米特亚兹德命令区域的ET _C季节。要评估SEBAL算法派生的ETc（ET _C-SEBAL）在相同条件下，通过应用多个性能标准使用了Fao-Penman-Monteith方法。结果表明，用Landsat 8图像显示SEBAL算法的可接受精度，使用R ²  = 0.843％和RMSE约0.264 mm /天，对研究区域内ET _C的分布进行适当估计，具有足够的准确性。另外，使用获得的ET _C-SEBAL评估了田间水平衡，结果表明，季节性ET _C普遍提供了（87,5％）的水面供应。此外，假设将新的夏季作物种植模式设想用于农业种植，以使选定的试验研究区最大程度地节水。