Arctic Geospatial Science and Remote Sensing Fundamentals

The Arctic is changing faster than almost any other region on Earth, making geospatial monitoring critical for understanding environmental shifts. This text-based course introduces you to the core principles of remote sensing and geospatial analysis tailored specifically to cold-climate environments. By reading this course, you will develop the foundational skills to analyze satellite imagery, track environmental changes over time, and evaluate high-latitude hazards. You will transition from understanding basic spatial data to interpreting complex Arctic phenomena. What you'll learn: Understand foundational remote sensing principles and satellite data types; Apply change detection techniques to monitor shifting Arctic landscapes; Track snow cover and surface water dynamics using modern geospatial indexes; Analyze wildfire burn severity and post-fire recovery in boreal ecosystems; Assess landslide hazards and terrain instability in permafrost regions; Explore open-source geospatial tools and modern Python libraries for spatial analysis. The curriculum begins with essential terminology and physical principles of remote sensing before guiding you through practical scenarios like wildfire mapping and landslide monitoring. You will progress from raw data concepts to real-world environmental assessment workflows. This course is designed for beginners, environmental enthusiasts, and aspiring GIS analysts who want to understand high-latitude geospatial science without needing prior specialized experience. Begin your journey into Arctic geospatial analysis and start interpreting critical environmental data today.