Time Series Multi-Sensors of Interferometry Synthetic Aperture Radar for Monitoring Geographical Conditions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 3933
Special Issue Editors
Interests: geodesy; GNSS; InSAR; deformation monitoring; monitoring infrastructures; precise positioning; infrastructure resilience; calibration/validation
Special Issues, Collections and Topics in MDPI journals
Interests: coal mining; insar; land deformation; mining areas
Interests: mining damage and rock formation control; deformation monitoring and data processing; DInSAR technology; three-dimensional laser scanning technology
Interests: spatial analysis; geostatistics; geocomputation; geographic information systems and science; remote sensing; geoinformatics in archaeology and cultural heritage
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; environment; classification algorithms; neural networks; radar
2. School of Civil and Environmental Engineering, UNSW Australia, Sydney 2052, Australia
Interests: InSAR; land subsidence; natural and human-induced hazards; subsidence modelling; monitoring/change detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Interferometric synthetic aperture radar (InSAR) time-series analysis has emerged as a revolutionary tool in the realms of remote sensing and geomatics, offering unparalleled insights into the Earth's dynamic processes. The integration of data from multiple SAR platforms, known as multiplatform or multi-sensor InSAR, further amplifies its capabilities, providing a more comprehensive and detailed understanding of geographical and environmental changes. Traditional InSAR approaches relied on data acquired from a single satellite. However, the advent of multiple SAR satellite missions has paved the way for multiplatform InSAR. By integrating data from different satellites, researchers can achieve higher temporal resolution, ensuring more frequent and consistent monitoring. Furthermore, the integrated use of SAR acquisitions originating from different sensors has the potential to reveal different features within the same area of study.
This Special Issue welcomes submissions on applications of multi-sensor InSAR time-series analysis monitoring a wide range of geographic conditions and changes introduced by solid earth deformation and geohazards, coastal erosion, glacier dynamics, deforestation, hydrology changes, and urban development. We also invite submissions that integrate global navigation satellite systems (GNSS) and related geodetic techniques to the InSAR time-series processing workflow.
Dr. Chris Danezis
Prof. Dr. Huayang Dai
Dr. Yueguan Yan
Prof. Dr. Phaedon C. Kyriakidis
Prof. Dr. Vassilia Karathanassi
Prof. Dr. Alex Hay-Man Ng
Guest Editors
Manuscript Submission Information
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Keywords
- InSAR
- multisensor SAR
- timeseries analysis
- geospatial analysis
- GIS
- environment monitoring
- geohazards
- glacier motion
- desertification monitoring
- vegetation change
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