InSAR Technology in Time-Series Analysis: Development, Application and Challenges
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 16 June 2026 | Viewed by 209
Special Issue Editors
Interests: imaging geodesy; InSAR
Interests: radar remote sensing deformation monitoring
Special Issue Information
Dear Colleagues,
This Special Issue, “InSAR Technology in Time-Series Analysis: Development, Application and Challenges”, will focus on the transformative evolution of Interferometric Synthetic Aperture Radar (InSAR) from generating single deformation snapshots to enabling dynamic, long-term monitoring of Earth’s surface. By analyzing sequential radar images, advanced time-series InSAR techniques effectively mitigate atmospheric artifacts and decorrelation noise, providing millimeter-scale accuracy in measuring ground displacement. This capability is critical for understanding and mitigating geohazards, assessing infrastructure stability, and monitoring environmental changes, making it a cornerstone of modern Earth observation.
Aligned with the Remote Sensing’s scope of publishing cutting-edge sensing technologies and geoscience applications, this Special Issue aims to showcase recent methodological advances, novel applications, and solutions to persistent challenges in time-series InSAR. It seeks to bridge the gap between algorithmic innovation and practical implementation, highlighting how continuous monitoring improves disaster resilience, urban planning, and natural resource management.
We welcome contributions on themes including the following:
- Algorithm Development: New methods for phase unwrapping, atmospheric correction, and multi-sensor data fusion.
- Integrated Applications: Case studies in subsidence, landslide, volcano, and glacier monitoring, or infrastructure health assessment.
- Cross-Disciplinary Approaches: Combining InSAR with machine learning, IoT, or climate models.
- Challenges and Solutions: Addressing big data processing, uncertainty quantification, and operational monitoring systems.
Prof. Dr. Qiang Shen
Prof. Dr. Bo Hu
Prof. Dr. Yangmao Wen
Guest Editors
Manuscript Submission Information
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Keywords
- InSAR
- time-series analysis
- surface deformation
- geohazards
- PolInSAR
- TomoSAR
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