InSAR geodetic imaging has become operational, driven by the extensive SAR data archive from Sentinel-1A/B. The SAR archive is expanding with missions such as Sentinel-1C/D (C-band), NISAR (L/S-band), ALOS-2/4 and ROSE-L (L-band), Biomass (P-band), SWOT (Ka-band), and commercial X-band SAR constellations. We invite contributions on opportunities and challenges presented by these advancements, including applications enabled by NISAR. Topics include: (1) processing methods that maximize the value of dense, multi-mission SAR time series across imaging geometries (2) studies of how wavelength, polarization, and geometry affect the accuracy and uncertainty of geodetic and geophysical estimates, including the roles of NISAR’s L- and S-band data (3) approaches leveraging big data analysis, deep learning, AI, cloud computing, and analysis-ready products to transition scientific advancements to decision-making applications. (4)  novel SAR and InSAR applications, including using closure phase measurements and other emerging observables, especially for missions envisioned beyond NISAR.

• C - Cryosphere
• H - Hydrology
• NH - Natural Hazards
• NS - Near Surface Geophysics