Deforestation assessment

This chapter provides a comprehensive review of Earth observation technologies and their applications in monitoring and addressing global deforestation challenges. We examine current approaches, including satellite-based remote sensing, light detection and ranging (LiDAR) systems, and integrated multisource data techniques, while exploring how advances in machine learning, cloud computing, and real-time monitoring systems are transforming forest management. Through detailed case studies, we demonstrate practical applications ranging from forest resilience-mortality relationships to topographic influences on tree mortality. The chapter also addresses critical challenges in data quality, accessibility, and scalability, while highlighting emerging trends in high-resolution imagery and real-time monitoring capabilities. Our analysis emphasizes the importance of regional context and institutional frameworks in the successful implementation.