Primary Convener:
Yanghui Kang, Virginia Tech

Convener:
Liyin He, Duke University
Andrew Feldman, NASA Goddard Space Flight Center
Joshua Fisher, Chapman University

Early Career Convener:
Wantong Li, University of California, Berkeley

Chair:
Yanghui Kang, University of Wisconsin Madison
Liyin He, Duke University
Andrew Feldman, Massachusetts Institute of Technology
Joshua Fisher, UCLA
Wantong Li, Max Planck Institute for Biogeochemistry

Remote sensing technologies across spectra and platforms have revolutionized the way we monitor and diagnose 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, and proximal sensing technologies. This unprecedented observational richness and continuity enables 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 or mechanistic modeling, field observations, and data-driven approaches (e.g., machine learning). Contributions connecting scientific insight to actionable applications in ecosystem management, conservation, and climate mitigation are also welcome.

Index Terms
0426 Biosphere|atmosphere interactions
0439 Ecosystems, structure and dynamics
0480 Remote sensing

Cross-Listed:
IN - Informatics
GC - Global Environmental Change

Suggested Itineraries:
Climate Change and Global Policy
Machine Learning and AI
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Neighborhoods:
3. Earth Covering