GSPy: A new toolbox and data standard for Geophysical Datasets

Editorial Material Astronomy & Astrophysics

Near-Surface Geophysics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

M. Salman et al.

Summary: This study explores the multifaceted community-driven nature of near-surface geophysics (NSG) and identifies three key strategic objectives: integrating NSG into other geoscience data collection projects, creating standardized and open NSG data, and fostering an equipment sharing consortium among post-secondary institutions. By implementing structural changes within the ICON-FAIR framework, significant opportunities for interdisciplinary applications of NSG can be advanced.

EARTH AND SPACE SCIENCE (2022)

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Article Computer Science, Interdisciplinary Applications

HPC cluster-based user-defined data integration platform for deep learning in geoscience applications

Guohua Li et al.

Summary: The Geoscience Data Integration Platform (GeoDIP) utilizes high-performance computing cluster systems to provide data pre-processing and analysis modules for creating AI ready datasets. Experimental results on precipitation prediction performance show that the integrated dataset generated from GeoDIP provides a 9% improvement in F1 score. The platform facilitates the utilization of multiple datasets for analyzing geophysical phenomena, with a significant performance improvement in tasks conducted sequentially versus in parallel.

COMPUTERS & GEOSCIENCES (2021)

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Article Multidisciplinary Sciences