Remote sensing technologies across spectra and platforms have revolutionized the way we monitor and understand terrestrial ecosystem dynamics. Using tower-mounted, airborne, or spaceborne sensors, these tools measure diverse ecosystem processes at centimeters to tens of kilometers spatial resolutions and hourly to seasonal temporal scales. Recent advances  include small satellite constellations, solar-induced fluorescence, thermal and hyperspectral imaging, LiDAR, microwave sensing, and proximal sensing technologies. This unprecedented observational richness and continuity enable deeper insights into ecosystem responses to environmental change, informing mechanistic understanding and sustainable land and resource management.

This session invites contributions that use remote sensing to characterize ecosystem structure, function, energy and water fluxes, carbon dynamics, detecting short-term disturbances and long-term changes. We encourage studies that integrate remote sensing with process-based modeling, field observations, and AI or machine learning approaches. Contributions connecting scientific insight to actionable applications in ecosystem management, conservation, and climate mitigation are also welcome.

• GC - Global Environmental Change
• IN - Informatics