The Dataset of Unraveling Surface Subsidence Mechanisms in Typical Oil Production Areas of Songyuan City by Integrating Time-Series InSAR and Deep Learning

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: liyang yin
DOI: 10.5281/zenodo.18600030
Cited by: 0

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Geotechnical and Mining Engineering Earthquake Detection and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Dataset