For my final project in ENGR 1050, I developed a Python program that analyzes satellite images to identify safe emergency landing zones for aircraft. Using the MapBox API, OpenCV, and custom scoring algorithms, the program tiles and evaluates images based on features like greenness, blueness, cloud cover, and edge density. It then ranks the most promising zones, visualizes them with overlays and heatmaps, and provides statistical summaries of landing suitability. As a pilot, I wanted to create a tool with real-world value while exploring advanced image processing, data visualization, and API integration. This project showcases how computation, statistics, and visual analysis can be combined to solve practical aviation challenges.
View the code in Google Colab Below!