Environmental seismology has matured into a key discipline for exploring Earth surface dynamics across a broad range of spatial and temporal scales. Physical, chemical, and biological processes leave measurable imprints in seismic records, whether as discrete events or continuous signatures. Seismic methods are increasingly refined to capture these signals with high resolution, scalable deployment, and integration across diverse observational platforms.
As a community of geomorphologists, geophysicists, glaciologists, hydrologists, volcanologists, engineers, and ecologists, we advance theory, develop methods, and apply seismic observations to pressing questions in Earth surface research and natural hazards.
We invite contributions on methodological and theoretical developments, field and laboratory experiments, and innovative applications. We particularly welcome work that combines seismic observations with complementary data streams (e.g., remote sensing, in-situ monitoring, fiber-optic networks, or meteorological records), as well as studies leveraging data-intensive approaches (e.g., large-scale arrays, distributed acoustic sensing, machine learning, physics-informed modeling).
We anticipate a lively discussion on current challenges in understanding Earth surface processes, opportunities for community-based research and open data initiatives, and the role of seismic methods in addressing urgent questions related to climate change, natural hazard resilience, and coupled Earth system dynamics.
Topical keywords: erosion, landslide, rockfall, debris flow, granular flow, fracturing, stress, snow avalanche, icequake, calving, subglacial processes, karst, bedload, flood, GLOF, early warning, coastal processes, tsunami, eruption, tremor, turbidity current, groundwater, soil moisture, dv/v, noise, HVSR, array, DAS, infrasound, machine learning, classification, signal processing, physics-informed modeling, multi-sensor integration, open data.
Qibin Shi