Forest Monitoring and Deforestation Mapping with CLASlite

Accurate forest monitoring is critical for combating global deforestation and climate change. This text-based course introduces you to the core scientific principles of satellite-based remote sensing and how to apply them practically using the Carnegie Landsat Analysis System-lite (CLASlite). You will transition from understanding raw earth-observation data to independently mapping forest cover loss and degradation. What you'll learn: - Understand the foundational scientific concepts of remote sensing and satellite imagery. - Master the step-by-step workflow of the CLASlite software system for environmental analysis. - Map deforestation and identify subtle forest degradation from raw satellite data. - Apply modern cloud-based data concepts and geospatial standards to keep your monitoring workflows current. - Analyze fractional cover and vegetation indices to assess overall forest health. - Translate complex satellite observations into actionable map data for conservation reports. Your learning journey begins with essential terminology, atmospheric correction basics, and satellite data structures. You will then progress through the core computational steps of CLASlite, learning how to process imagery, classify land cover, and detect changes over time through clear, step-by-step written explanations and practical scenarios. This course is designed for beginners, conservationists, environmental students, and forestry professionals who want to start using satellite data for mapping. No prior experience with remote sensing or GIS software is required to begin. Start your journey in environmental monitoring and learn to track forest change today.