Interferometric Synthetic Aperture Radar (SAR, InSAR) has boomed into an exceptionally potent tool for quantifying large-scale deformation with high spatial resolution. The last decade has witnessed a remarkable surge in the SAR satellite market, featuring various satellites like Sentinel-1, ALOS-2, and commercial counterparts. This wealth of SAR and InSAR results present a huge opportunity to improve our understanding of hazard processes across various temporal and spatial scales, including earthquakes, volcanic eruptions, landslides, glacier movements, underground fluid changes, sea-level rise, tsunamis, and more.
This session will explore innovative SAR/InSAR processing methodologies and illuminate fresh perspectives on the underlying physics governing these geohazards. We welcome contributions that encompass a wide range of topics, including but not limited to: (1) ingenious algorithms to mitigate SAR/InSAR errors, incorporating state-of-the-art tools such as deep learning; (2) advanced processing strategies for SAR big data; (3) natural hazard applications with SAR/InSAR and other complementary geophysical datasets like GNSS and seismic waveforms; (4) hazard assessments and disaster risk reduction in terms of vulnerability, capacity, and resilience.
This session will explore innovative SAR/InSAR processing methodologies and illuminate fresh perspectives on the underlying physics governing these geohazards. We welcome contributions that encompass a wide range of topics, including but not limited to: (1) ingenious algorithms to mitigate SAR/InSAR errors, incorporating state-of-the-art tools such as deep learning; (2) advanced processing strategies for SAR big data; (3) natural hazard applications with SAR/InSAR and other complementary geophysical datasets like GNSS and seismic waveforms; (4) hazard assessments and disaster risk reduction in terms of vulnerability, capacity, and resilience.