SpaceHike

Idea:

Our project is an AI-powered mountain conditions platform designed to provide real-time, reliable, and actionable insights for skiers, hikers, and outdoor enthusiasts.

Problem: Skiers and hikers often struggle to get accurate, up-to-date information about snow cover, trail conditions, and weather hazards. Existing reports are frequently delayed, inconsistent, or limited to specific areas, making it difficult to plan outdoor activities safe and efficient trips.

Solution: We combine satellite-based snow and terrain data with live weather forecasts to automatically generate a clear, user-friendly “condition score” and alerts. Users can see snow coverage, trail difficulty, and potential hazards in real time, enabling safe and informed decisions for skiing, trekking, or mountaineering.

EU Space Technologies:

In our prototype we leverage Copernicus Sentinel-2 satellite imagery to calculate Normalized Difference Snow Index (NDSI) for snow cover detection and the Normalized Difference Water Index (NDWI) to mask water bodies. In addiction, Sentinel-1 SAR data could be used for cloud-penetrating snow detection in winter.

This satellite data integration allows us to:

- Generate accurate snow coverage maps

- Detect off-trail snow patches for skiers or hikers

- Assess terrain conditions dynamically across large mountainous regions

By combining this with open meteorological data (Open-Meteo) and terrain models (DEM), we deliver a scalable and reliable consumer experience that transforms raw satellite signals into practical guidance for outdoor activities.

Team members

• Marian Kijewski - Frontend Dev
• Wiktoria Zahaluk - graphic designer
• Magdalena błażej - business specialist
• Mateusz draus - backend developer
• Mikołaj data - backend developer Idea:

Implementation:
https://github.com/MarianKijewski/cassini