About this Research Topic
Crustal deformation associated with endogenous forces of the earth (e.g., volcanic events, earthquakes, landslides, and collapses) and anthropogenic activities (e.g., urban construction, mining activities, oil and groundwater extraction) has been observed all over the world, which has become one of the most significant geological hazards globally. As one of the most effective means for measuring crustal deformation, interferometric synthetic aperture radar (InSAR) can provide high-resolution, high-precision, and large-scale land surface displacements as well as their spatio-temporal evolution behaviors. InSAR monitoring and modeling outputs can help understand the deformation mechanisms and minimize exposure of people and assets to potential damages. With the recent development and improvement in satellite technologies and extensive data computing methodologies, InSAR deformation monitoring, analyzing, and modeling, which is essential for disaster control, faces new and emerging challenges and produces remarkable progress.
Many efficient InSAR approaches, such as PS-InSAR, SBAS-InSAR, MAI-InSAR, DS-InSAR etc., have widely been exploited over the years and have already demonstrated their value. Nevertheless, further efforts are still required to solve the technical bottlenecks in InSAR areas. For instance, how to match the increasing requirements for high-precision InSAR measurements in various applications? How to implement an in-depth analysis and accurate estimation of atmospheric delays? How to select sufficient coherent points and how to properly optimize their phases? How to better constrain the parameters in modeling? How to fully integrate other surface monitoring techniques, such as GNSS, pixel offset tracking of radar, or optical images, to improve performance?
We are inviting the submission of original articles focused on, but not exclusively, the following topics:
1. Innovative applications using InSAR-related techniques in monitoring various land surface deformation, such as urban deformation, mining deformation, volcanic deformation, tectonic loading, earthquakes, glacier movement, etc.
2. Advances in InSAR, time series InSAR, PolInSAR algorithms/methods/techniques for high-precision deformation monitoring.
3. Advanced methods for inversion of 3D deformation
4. Innovative InSAR error correction methods, including DEM error or atmospheric delay using SAR data or other data sources and models such as GNSS, GACOS, GAMs, MODIS, etc.
5. Integration of multiple surface monitoring techniques such as GNSS, pixel offset tracking, gravity survey, or optical remote sensing.
6. Modeling and deformation prediction.
7. Efficient and intelligent algorithms to handle big data.
8. Utilization of very-high-resolution (VHR) SAR data.
9. Multi-track and multi-sensor combinations
Many efficient InSAR approaches, such as PS-InSAR, SBAS-InSAR, MAI-InSAR, DS-InSAR etc., have widely been exploited over the years and have already demonstrated their value. Nevertheless, further efforts are still required to solve the technical bottlenecks in InSAR areas. For instance, how to match the increasing requirements for high-precision InSAR measurements in various applications? How to implement an in-depth analysis and accurate estimation of atmospheric delays? How to select sufficient coherent points and how to properly optimize their phases? How to better constrain the parameters in modeling? How to fully integrate other surface monitoring techniques, such as GNSS, pixel offset tracking of radar, or optical images, to improve performance?
We are inviting the submission of original articles focused on, but not exclusively, the following topics:
1. Innovative applications using InSAR-related techniques in monitoring various land surface deformation, such as urban deformation, mining deformation, volcanic deformation, tectonic loading, earthquakes, glacier movement, etc.
2. Advances in InSAR, time series InSAR, PolInSAR algorithms/methods/techniques for high-precision deformation monitoring.
3. Advanced methods for inversion of 3D deformation
4. Innovative InSAR error correction methods, including DEM error or atmospheric delay using SAR data or other data sources and models such as GNSS, GACOS, GAMs, MODIS, etc.
5. Integration of multiple surface monitoring techniques such as GNSS, pixel offset tracking, gravity survey, or optical remote sensing.
6. Modeling and deformation prediction.
7. Efficient and intelligent algorithms to handle big data.
8. Utilization of very-high-resolution (VHR) SAR data.
9. Multi-track and multi-sensor combinations
Keywords: InSAR, PolInSAR, Crustal deformation monitoring and prediction, Inversion of 3D deformation, Estimation of atmospheric delay, Time series analysis, Modeling, Multiple assistant surface monitoring techniques
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
