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3Ds in Geo-Sensing: Distributed Sensing, Intelligent Analysis, and Deep Applications

The advent of Distributed Temperature Sensing (DTS), Distributed Strain Sensing (DSS), and Distributed Acoustic Sensing (DAS)—collectively known as "3Ds" technologies—is revolutionizing subsurface characterization and infrastructure monitoring. These techniques provide unprecedented, spatially continuous data on temperature, strain, and vibration across vast scales. This session will explore the complete pipeline from advanced sensing to intelligent data utilization, focusing on the unique challenges and opportunities presented by these massive, high-resolution datasets. We aim to bridge the gap between data acquisition and engineering insight, fostering a transition from simple monitoring to predictive, data-driven decision-making in geo-engineering.

The session will cover novel sensing methodologies, cutting-edge algorithms for big data analysis, and transformative applications across multiple disciplines. By bringing together experts in sensing technology, data science, and geo-engineering, this session seeks to define the future of intelligent ground sensing and its role in creating safer and more resilient infrastructure.

We invite contributions on topics including, but not limited to:

(1)     Multi-Physics Sensing & Data Acquisition:

  • Novel deployment techniques and integration strategies for DTS, DSS, and DAS.
  • Fusion of 3Ds data with other monitoring data (e.g., InSAR, IoT sensors).
  • New paradigms for real-time, distributed monitoring of geotechnical structures and geological processes.

(2)     Intelligent Analysis & Model Development:

  • Machine learning and deep learning algorithms for feature extraction, anomaly detection, and pattern recognition in 3Ds data.
  • Data compression, denoising, and management strategies for massive distributed datasets.
  • Development of digital twins and predictive models calibrated with 3Ds data.

(3)     Cross-Disciplinary Applications:

  • Applications in geohazard warning (e.g., landslides, land subsidence), geotechnical engineering (e.g., tunnel, slope, and foundation), and hydropower (e.g., dam, dike).
  • Case studies in energy sectors (e.g., geothermal reservoir, pipeline monitoring) and transportation (e.g., railway, highway).
  • Long-term performance assessment and lifecycle management of critical infrastructure.