Advances in remote sensing for wildfire monitoring and impact assessment

Wildfires are increasingly recognized as critical drivers of ecological transformation, human
displacement, and economic loss across Mediterranean and global landscapes. The extreme
climate anomalies and severe outbreaks of the 2026 fire season have further underscored the
urgency of tracking shifting fire regimes. This special session invites contributions that
showcase the use of remote sensing to support all stages of wildfire monitoring and
management.

We welcome studies employing passive or active sensors-such as optical, thermal,
microwave, SAR, and LiDAR-across various platforms, including satellite, airborne, and UAV
systems. Particular interest is given to methodologies that demonstrate scalability,
repeatability, and potential for operational integration; we seek submissions focused on
cutting-edge Artificial Intelligence (AI) and machine learning workflows, algorithm
development, multi-sensor data fusion.

Emphasis is placed on geoinformatics and remote sensing applications that support fire
severity and regime analysis, and their connections with climate change and the occurrence
of extreme fire weather conditions. Accordingly, contributions are strongly expected to
address the wide-ranging environmental impacts of fires, including landscape and habitat
transformation, biomass loss, carbon emissions, soil degradation, and hydrological changes.
Contributions addressing case studies capturing recent fire–climate interactions in European
regions, are strongly encouraged.

Organizers