Regional surface‑velocity products derived from InSAR time‑series analyses are widely used to quantify present‑day ground deformation associated with tectonics, land subsidence, and other processes. The open‑data policy and systematic acquisitions of the Sentinel‑1 mission have enabled many groups to independently generate regional InSAR velocity maps over the same areas. Despite relying on similar datasets, these products often differ substantially due to sensitivities to processing workflows, reference frames, time‑series methodologies, filtering strategies, and assumptions about noise sources. Limited documentation and the lack of quantitative uncertainty estimates frequently hinder reproducibility and raise concerns about scientific integrity, transparency, and confidence in published results.

This session invites contributions that address scientific integrity in regional InSAR time‑series analyses through reproducible workflows, rigorous uncertainty estimation, and quantitative comparison of velocity products. The goal is to foster community dialogue and move toward shared best practices that improve transparency, reproducibility, and confidence in regional InSAR velocity products.