Trees and forest ecosystems undergoing profound changes in their spatial extent, structure, and function, driven by climate change, disturbances, and human activities. While forest cover mapping and monitoring have been well established over the past decades, recent advances in remote sensing, ecological observations, and Artificial Intelligence (AI) are bringing new insights into studies of forest dynamics (gain and loss), including extent, structure, biomass, biodiversity, functional attributes, and successional trajectories. We invite presentations: (1) Quantify forest extent, area, and dynamics, including deforestation, degradation, reforestation, afforestation, recovery, and resilience by multisource remote sensing datasets. (2) Characterize forest attributes such as canopy height, coverage, vertical structure, biomass, and biodiversity. (3) Integrate high-resolution imagery with machine learning to map tree cover and height, classify species, and delineate tree crowns. (4) Analyze drivers of forest change and assess how forest functional attributes, such as carbon storage, biodiversity, and resilience, respond to structural and compositional change.

• B - Biogeosciences