Yustisi LUMBAN-GAOL, Ramon Hanssen
Abstract. Peat subsidence poses a significant challenge to long-term land and environmental stability. Field monitoring with extensometers reveals variability in relative surface elevation changes, which are then modeled using simple parameterization for the motion of soils (SPAMS). To extend the spatial scale of monitoring, Interferometric Synthetic Aperture Radar (InSAR) time series are used. InSAR-derived SPAMS parameters provide meaningful displacement models that can describe peat subsidence and dynamics with a limited set of parameters. In this study, we publish the SPAMS10 dataset, which includes both physical and statistical parameters, along with additional contextual information at the parcel level. This dataset promotes data sharing among stakeholders, shifting products from InSAR-based relative elevation estimates to InSAR-derived displacement model parameters. These parameters enable detailed and reproducible analyses of peat subsidence. The dataset is available through the 4TU.ResearchData repository: https://doi.org/10.4121/dfbe9109-d058-4a64-a5b4-1cc9d9a5f836 (Lumban-Gaol et al., 2025) and is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.