Module 1: Introduction to Remote Sensing and Forest Monitoring

• Overview of remote sensing technologies and their evolution
• Principles of remote sensing: electromagnetic spectrum, sensors, and platforms
• Importance of remote sensing in forest management and monitoring

Module 2: Remote Sensing Platforms and Sensors

• Types of remote sensing platforms: satellite, aerial, and UAV
• Key sensors and instruments used in forest monitoring
• Data acquisition and preprocessing techniques

Module 3: Forest Vegetation Analysis

• Methods for classifying and mapping forest vegetation types
• Techniques for assessing forest canopy cover and density
• Using vegetation indices (e.g., NDVI) for forest health monitoring

Module 4: Change Detection and Forest Health Assessment

• Techniques for detecting and analyzing changes in forest cover over time
• Identifying indicators of forest health and stress
• Case studies of forest disturbances, deforestation, and degradation

Module 5: Data Interpretation and Visualization

• Tools and methods for analyzing remote sensing data
• Creating maps, charts, and visualizations for forest management
• Integrating remote sensing data with GIS for comprehensive forest monitoring