Continuous monitoring of natural physical processes is essential to understand their behaviour. The wide variety of available instruments allows diverse applications to increase data availability for a better understanding of natural physical processes. Long-term data collection allows for a deeper understanding of trends and patterns such as seasonal variation, multi-year cycles and changes due to anthropogenic influence (e.g. deforestation, urbanization and pollution). On the other hand, short-term monitoring is essential for real-time decision-making and rapid response, contributing to hazard assessment improvement, more effective risk management and more accurate warning systems. Appropriate data analysis and innovative instrumentation systems can contribute to developing effective mitigation and adaptation strategies. This session focuses on advances in geophysical instrumentation including long-term and short-term monitoring of natural phenomena.
The session aims to disseminate advanced instrumentation research, the use of new technologies to overcome future challenges, including those associated with extreme climatic conditions, and novel approaches from various disciplines to provide efficient monitoring to build historical baselines. The session is an inter- and transdisciplinary (ITS) session. The topics include but are not limited to:
(1) Advanced geophysical techniques and sampling methodologies.
(2) Technical developments and design of monitoring systems to understand natural physical processes.
(3) Continuous real-time monitoring systems to provide smart tools such as an integration of geoscience data with Building Information Models (BIM), digital twins, robotic monitoring, automation systems and computational modelling for better decision-making.
(4) Intelligent data analysis approaches driven by technologies including computer vision and image, signal processing, machine learning.
(5) Advances in the use of network technologies (e.g. long range, LTE-M, NB-IoT) for geoscience.
(6) Advances in data systems for real-time monitoring.
We encourage student submissions of early or ongoing research in order to provide a forum for the exchange of ideas and experiences.