Satellite-based forest fire detection systems have significantly enhanced fire monitoring in forested areas, with numerous successful applications demonstrated worldwide. The integration of remote sensing technologies, such as ground-based light detection and ranging (LiDAR), has further improved the accuracy of fire degradation assessments. LiDAR, which uses laser light to generate precise 3D models of terrain and surface features, enables detailed analysis of forest structure and topography. Remote sensing plays a critical role throughout the entire fire management cycle—from forecasting fire events to postfire assessment. During a fire, remote sensing technologies are employed for real-time detection, while burn severity maps are generated to evaluate the extent of damage. Additionally, remote sensing is used to estimate fire emissions, predict potential soil erosion, support vegetation regeneration planning, and forecast future fire risks.