The increasing frequency and intensity of climate extremes, coupled with rapid global urbanization, creates an urgent need for integrated research that bridges physical climate science with urban planning and socio-economic analysis. This collection addresses the critical knowledge gap between understanding extreme weather processes and implementing effective urban resilience strategies, providing a platform for interdisciplinary research that can inform evidence-based adaptation policies and practices. The collection will advance interdisciplinary collaboration between climate scientists, urban planners, engineers, and social scientists, fostering methodological innovations in coupled human-natural systems research. It will contribute to improved urban climate modelling capabilities, enhanced understanding of climate-society interactions, and development of transferable adaptation strategies. The research will also inform international climate assessment reports and support evidence-based policy development for urban climate resilience. This collection primarily addresses urban climatology and applied climatology, with significant contributions from mesoscale meteorology, climate extremes research, and climate impact assessment. It encompasses urban boundary layer dynamics, heat island effects, precipitation patterns in urban environments, and the modification of extreme weather events by urban morphology, while integrating these physical processes with adaptation science and climate services.

This topical collection focuses on the emerging role of satellite-enabled Internet of Things (IoT) networks in advancing remote environmental monitoring. Traditional ground-based monitoring systems often suffer from limited coverage, high infrastructure costs, and unreliable connectivity in remote or inaccessible regions such as forests, oceans, and polar areas. The integration of satellite communication with IoT technologies enables global-scale, real-time environmental data collection, supporting applications such as climate change monitoring, disaster prediction, biodiversity conservation, and smart agriculture.

Recent advancements in Low Earth Orbit (LEO) satellite constellations, nanosatellites, edge computing, and AI-driven analytics are transforming the feasibility and scalability of such systems. These technologies enable continuous, energy-efficient, and intelligent monitoring solutions capable of addressing environmental challenges worldwide.

This collection invites contributions on innovative architectures, algorithms, and applications, including hybrid satellite-terrestrial IoT systems, geospatial analytics, AIoT-based environmental prediction, UAV integration, and secure communication frameworks. The goal is to provide a platform for interdisciplinary research that supports sustainable environmental management and global resilience.