This presentation showcases how Earth Observation (EO) data, satellite imagery, and artificial intelligence (AI) can be used to support climate-resilient transport route planning in developing countries. It demonstrates a structured approach to identifying, optimizing, and designing road alignments by integrating geospatial datasets such as elevation models, rainfall and flood information, synthetic aperture radar (SAR), and high-resolution imagery. The presentation highlights how EO data and AI-driven analysis help planners assess terrain constraints, climate risks, flood-prone areas, and infrastructure impacts, enabling the development of safer, more cost-effective, and environmentally sustainable transport corridors and road designs.