Monitoring water bodies such as lakes is expensive, but remote sensing made it cost-effective. The extensive anthropogenic activities negatively impact the water lakes everywhere. Moreover, the Egyptian coastal lakes are not an exception. This paper investigates changes in land use/land cover and detects coastal changes of Buullus Lake, ranked to be the second-largest Egyptian northern Mediterranean coastal lake, using Remote Sensing and Geographic Information Systems (GIS) techniques. Multitemporal Landsat satellite images from 1984 to 2019 have been collected and processed where Landsat and Sentinel-2A images for 2019 have been used for comparison purposes. In addition field visits have been conducted to verify the obtained results. The maximum likelihood supervised classification approach was shown to be more accurate in monitoring changes in the Lake's water bodies. Classes of the supervised classification included eight classes; seawater, lake water, floating vegetation, sand, urban, agricultural areas, fish farms, and drainage canals. Analysis of the satellite data indicated that: between 1984 and 2019, the lake's water bodies and floating vegetation area were reduced by 16 % and 52 %, respectively. While agricultural lands increased by (648 km²). In addition, there has been a significant growth in the area of fish farms (290 km²). The resulted updated spatiotemporal maps and extracted water features assist decision-makers in taking the necessary steps to stop or minimize anthropogenic activities. These steps will help to restore or maintain the lake to host the government planned activities to achieve the Sustainable Development Goals (SDGs) on the lake level.

监测湖泊等水体的成本很高，但遥感使其具有成本效益。广泛的人为活动对各地的水湖产生了负面影响。此外，埃及沿海湖泊也不例外。本文使用遥感和地理信息系统 (GIS) 技术调查土地利用/土地覆盖的变化，并检测被列为埃及北部地中海第二大沿海湖泊的 Buullus 湖的沿海变化。已收集和处理了 1984 年至 2019 年的多时相 Landsat 卫星图像，其中 2019 年的 Landsat 和 Sentinel-2A 图像已用于比较目的。此外，还进行了实地考察以验证获得的结果。最大似然监督分类方法被证明在监测湖水体变化方面更准确。监督分类的类别包括八个类别；海水、湖水、漂浮植被、沙地、城市、农业区、养鱼场和排水渠。卫星数据分析表明：1984年至2019年，该湖水体和漂浮植被面积分别减少了16%和52%。农业用地增加（648 平方公里 s 水体和浮动植被面积分别减少了 16% 和 52%。农业用地增加（648 平方公里 s 水体和浮动植被面积分别减少了 16% 和 52%。农业用地增加（648 平方公里² )。此外，养鱼场面积（290 km ²）显着增长。由此产生的更新时空图和提取的水特征有助于决策者采取必要的步骤来停止或尽量减少人为活动。这些步骤将有助于恢复或维护湖泊，以举办政府计划的活动，以实现湖泊层面的可持续发展目标 (SDG)。