Rockfall is a natural hazard in mountainous areas not to be underestimated. Mass activities differing in rock volume may cause considerable economic damage. Accomplishing qualitative appraisal of high-potential zones for rockfall is a first step towards implementing mitigation strategies. Nowadays, Geographical Information Systems (GIS) are the state-of-the-art tool for a fast and economic approach of identifying potential hazard zones rather than using conventional mapping with in-situ field data. Primarily, current research focuses on designing and implementing user-friendly tools delineating potential rockfall hazard zonation (RHZ). The constructed model examines triggering factors like slope, aspect, elevation, lithology, structural lineament, rainfall intensity, and seismic activity focal depth of a mountainous coastal region (Gulf of Aqaba, Egypt). The extracted geomorphological parameters were based on a high-resolution TanDEM-X Digital Elevation Model. The enhanced Landsat ETM + 7 was used to generate the lithological and structural lineament parameters, while the rainfall data were collected from NASA project tool. The zonation model was implemented by means of ESRI’s ArcGIS Pro ModelBuilder. Google Earth Pro orthophotos compared with the generated rockfall hazard zonation map indicate the potential RHZ with high reliability. The achieved results show that 15 % of the study area qualifies as a high rockfall hazard zone. As the RHZs generated by the model depend on the input data and the selected rating scores and weights, obtaining ground truth is essential to get a trustworthy result. Finally, this study recommends employing the built RHZ model on similar terrains worldwide to support decision-makers involving any sustainable development projects.

落石是山区中不可低估的自然灾害。岩石量不同的群众活动可能会造成可观的经济损失。对落石高发区进行定性评估是实施缓解策略的第一步。如今，地理信息系统（GIS）是一种快速，经济的方法来识别潜在危险区域的最新工具，而不是使用具有现场现场数据的常规制图方法。首先，当前的研究重点是设计和实现用户友好的工具，以描述潜在的崩塌危险地带（RHZ）。构建的模型检查了山区沿海地区（亚喀巴湾，埃及）。提取的地貌参数基于高分辨率的TanDEM-X数字高程模型。增强的Landsat ETM + 7用于生成岩性和结构性参数，而降雨数据是从NASA项目工具中收集的。分区模型是通过ESRI的ArcGIS Pro ModelBuilder实施的。Google Earth Pro正射影像与生成的落石灾害分区图相比，表明潜在的RHZ具有很高的可靠性。取得的结果表明，研究区域的15％属于高落石危险区。由于模型生成的RHZ取决于输入数据以及所选的评级得分和权重，因此，获得真实情况对于获得可信赖的结果至关重要。最后，