New Perspective of InSAR Data Time Series Analysis
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation Data".
Deadline for manuscript submissions: closed (29 December 2023) | Viewed by 8047
Special Issue Editor
Interests: remote sensing on Earth and planetary surfaces; topographic mapping; monitoring of topographic migrations on Earth and planetary bodies; activate remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Since the scientific community has adopted time series analysis as a way to stabilize the technical difficulty of InSAR, there have been tremendous achievements, both technical and applied. Various time series analysis techniques for stacked interferograms have proven the capability to handle error sources and trace tiny topographic migrations that have existed as enormous barriers to the practical applications of InSAR. We can therefore expect to achieve significant scientific goals, such as monitoring of pre-seismic activities, detecting preludes to landform disasters such as landslide and tracing continuous glacial migrations that have never been captured with the precision of any other remote sensing tool. The application of time series techniques is not only limited to phase angle analysis but extended to the phase coherence and amplitude changes. These advances in time series technology have pushed the scope of InSAR applications to the flood, aeolian/fluvial degradation, and anthropogenic footprints. In addition, the newly installed space-based constellations and UAV equipped with multiple bandwidths SAR sensors covering X to P bands are providing a huge number of raw data sets in multiple space/spectrum/time domains.
Therefore, this Special Issue is designed to summarize the technical achievements and applicable cases of InSAR time series analysis. In this Special Issue, we intend to evaluate existing approaches, refine the methodology, and propose innovations in InSAR time series analyses. The applications of InSAR time series analysis in new remote locations such as arctic regions, arid deserts, and even extraterrestrial objects are also of interest to us.
Accordingly, in this Special Issue, submissions of papers focusing on but not limited to the following areas will be given priority:
- Notable technical improvements in time series methodologies, error removal strategies, and PS and DS configurations;
- Exploration of new time series techniques, such as SAR tomography;
- Cases of application to multiple different targets, such as volcanoes, glaciers, plate tectonics, active flaws, cryospherical objects, and sand deserts;
- Machine learning add-ons related to InSAR time series output;
- The application and technique of time series based on amplitude and phase angle to exploit information on natural disaster and climate change.
Dr. Jung-Rack Kim
Guest Editor
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Keywords
- time series of interferograms
- phase coherence
- natural hazard
- topographic migrations
- climatic changes
- machine learning
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