In recent years, armed conflicts inside and between countries are globally on the rise, causing drastic human and environmental harm at various scales. These have continued to compound lives and livelihoods that are already on the edge in the face of a changing climate. Yet, collecting field data in conflict zones is often challenging, if not impossible, hindering robust characterization for humanitarian response and eventual post-conflict recovery, reconstruction, and accountability. The increasing wealth of remotely sensed data, earth system modeling, and other empirical methods provide a unique opportunity to monitor the impact of armed conflicts on livelihoods and a wide range of environmental aspects including agriculture, water, and biodiversity in near-real time.

The session welcomes contributions that use innovative techniques and perspectives characterizing the environmental and geophysical dimensions of armed conflicts from around the world. Research outcomes based on empirical methods, remote sensing data products, or Machine Learning and Artificial Intelligence tools are appreciated. We aim to bring together scientists, nonprofits, and government representatives to discuss the developments and challenges in wartime response tools, as well as the long-term rehabilitation of affected regions.