Agriculture covers nearly one-third of the Earth’s land surface and plays a vital role in sustaining global food and fodder production. Yet, it is increasingly threatened by the impacts of climate change while still contributing to biodiversity of loss, soil degradation, and environmental issues. Policy frameworks and regulations at national and EU level create incentives and commitment towards more sustainable management. However, meeting these challenges and needs requires innovative approaches that enhance agricultural resilience, efficiency, and sustainability while reducing the environmental footprint and safeguarding ecosystems.
Recent advances in Earth observation, environmental research infrastructures, monitoring networks (e.g., FLUXNET), and the growing availability of in-situ measurements and open data provide unprecedented opportunities to monitor, understand, and manage agroecosystems. Coupled with advancements in data science, machine learning, and process-based modelling, these tools enable the transition from observation to actionable solutions that support climate-resilient agriculture and sustainable land management.
This session welcomes contributions that explore and integrate diverse approaches—including (but not limited to):
• Large-scale mapping strategies of agroecosystem processes and dynamics.
• Integration of multi-modal remote sensing data (spectral, thermal, high-resolution RGB from current and future satellite constellations, UAVs, or airborne campaigns) with in-situ observations and environmental monitoring networks.
• Applications of machine learning, radiative transfer modelling, and hybrid approaches.
• Foundation model development and applications within agroecosystems and agriculture
• Monitoring or modelling of soil–plant–water interactions and nutrient dynamics.
• Assessment of biotic and abiotic stresses, including water demand and evapotranspiration.
• Quantification of climate change impacts (e.g., biodiversity loss, hydrological extremes, soil degradation, ecosystem shifts) on agricultural systems and their resilience.
Contributions should be presented through a lens that aims not only to advance technical understanding, but also to demonstrate how these efforts translate into practical pathways for improving agroecosystem monitoring and management—across intensively and extensively managed crop and grassland systems—towards a more sustainable and climate-resilient future.