Manal Sayed Award

This project focuses on assessing the burnt agricultural areas and forests in southern Lebanon during the last Israel - Lebanon conflict, using Landsat 8 dNBR (Differenced Normalized Burn Ratio), in addition to a refinement of results using BAI (Burned Area Index), NDVI (Normalized Difference Vegetation Index), and true color Sentinel 2 imagery, using advanced tools like Experience Builder, Story Map, Web Map, Survey123, and Dashboards

Following increased seismic activity in Lebanon since 2023, proactive disaster preparedness is crucial. This project utilizes ArcGIS Pro, integrating Story Maps, Model Builder, and Dashboards to assess seismic hazards, analyze building vulnerabilities, and develop evacuation plans. By leveraging GIS technology, it provides data-driven insights to enhance earthquake resilience and support informed decision-making for community safety.

The project designs a new public transportation system for the city of Byblos based on the already available road network. This system includes multiple transportation means such as tuk-tuks, pedestrians, bikes, cars and buses. In order to do so, most of Byblos’s point of interest were mapped. Additionally, road network analysis were conducted on the new network to evaluate several traffic components and shortest routes.