Urban environments, characterized by their complex spatial and temporal heterogeneity, significantly influence local and global climate patterns. Remote sensing technologies, with their ability to provide high-resolution information about urban morphology, materials, and vegetation cover, offer invaluable tools for unraveling the intricate interactions within urban climates.

This session invites contributions that explore innovative applications of remote sensing techniques to advance our understanding of urban climate dynamics.

Topics of interest include:

• Satellite-based remote sensing: Utilization of thermal, hyperspectral, and multispectral imagery to assess urban heat island effects, surface energy balance, and air quality and other urban dynamics.
• UAV-based remote sensing: Leveraging unmanned aerial vehicles (UAVs) for fine-scale mapping of urban morphology, vegetation cover, and microclimate variations.
• Aircraft-based remote sensing: Employing research aircraft to collect detailed urban climate data, including atmospheric profiles, boundary layer dynamics, and pollutant concentrations, etc.
• Emerging remote sensing technologies: Exploring the potential of hyperspectral imaging, LiDAR, and synthetic aperture radar (SAR) for enhancing urban climate research.
• Laser point cloud analysis: Utilizing point cloud data derived from LiDAR and other sensors to map urban surfaces, characterize building morphology, and assess urban green infrastructure.

We encourage interdisciplinary research that integrates remote sensing with modeling, field observations, and socio-economic data to develop comprehensive insights into urban climate processes and inform sustainable urban planning and adaptation strategies.