SPAMS10: an InSAR-derived soil motion parameter dataset to model relative peat surface elevation changes
Peat subsidence poses a significant challenge to long-term land and environmental stability by increasing flood risk and producing greenhouse gas emissions. 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 displacement models that can describe peat subsidence and dynamics with a set of parameters, namely four parameters for modeling and six variance-covariance terms for model uncertainties. We publish the SPAMS10 dataset, which refers to the descriptive displacement model SPAMS with ten parameters. The dataset also provides additional contextual information, such as soil code, at the parcel level, defined by the administrative boundary of an agricultural field. This dataset promotes data sharing among stakeholders, shifting products from InSAR-based relative elevation estimates to InSAR-derived displacement model parameters. These parameters enable the reconstruction of displacement models for peat subsidence analyses. 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.
Authors
- Ramon F. Hanssen (ORCID: https://orcid.org/0000-0002-6067-7561)
- Yustisi LUMBAN-GAOL
Institutions
- National Nuclear Energy Agency of Indonesia (ID)
- Delft University of Technology (NL)
Publication Details
- Journal
- Earth system science data
- Published
- 2026-09-21
- DOI
- https://doi.org/10.5194/essd-18-6913-2026
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00