Preprints
https://doi.org/10.5194/essd-2026-143
https://doi.org/10.5194/essd-2026-143
09 Mar 2026
 | 09 Mar 2026
Status: this preprint is currently under review for the journal ESSD.

SPAMS10: InSAR-derived soil motion parameters to model relative peat surface elevation changes

Yustisi Lumban-Gaol and 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.

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Yustisi Lumban-Gaol and Ramon Hanssen

Status: open (until 15 Apr 2026)

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Yustisi Lumban-Gaol and Ramon Hanssen

Data sets

SPAMS10 Krimpenerwaard: Soil motion parameters to model relative surface elevation changes Yustisi Lumban-Gaol et al. https://doi.org/10.4121/dfbe9109-d058-4a64-a5b4-1cc9d9a5f836

Yustisi Lumban-Gaol and Ramon Hanssen
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Latest update: 09 Mar 2026
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Short summary
Peat soils are sinking as groundwater levels drop, risking damage to farms, homes, and the environment. We combined ground measurements and satellite images to track how peat surfaces move over time. Using these data, we developed an open dataset that describes peat movement with a few key parameters and weather information. This dataset helps researchers and decision-makers better understand peat behaviour and assess actions to limit subsidence and protect the environment.
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