Preprints
https://doi.org/10.5194/egusphere-2026-5133
https://doi.org/10.5194/egusphere-2026-5133
31 Aug 2026
 | 31 Aug 2026
Status: this preprint is open for discussion and under review for Earth Observation (EO).

ASCAT Soil Moisture Estimation using Dynamic Regularised Slope and Curvature

Paco Frantzen, Susan Steele-Dunne, Roland Lindorfer, Sebastian Hahn, Mariette Vreugdenhil, and Wolfgang Wagner

Abstract. Soil moisture content is an essential climate variable driving processes in the hydrosphere, atmosphere and biosphere. Global and multi-decadal records of soil moisture measurements can be realised through spaceborne microwave instruments. The C-band Advanced Scatterometer (ASCAT) provides a global record of backscatter measurements fit for soil moisture retrieval, spanning nearly 20 years. The TU Wien Soil Moisture Retrieval algorithm uses an estimated backscatter-incidence relation to (i) normalise ASCAT backscatter observations from multiple incidence angles, and (ii) to determine reference values for backscatter under dry and wet conditions. A novel method for estimating the backscatter-incidence relation using regularisation was recently developed, resulting in improved short-term dynamics in the estimated time series of the backscatter-incidence relation. In this study, the impact of the regularised estimation backscatter-incidence angle relation on soil moisture retrieval is assessed separately for the backscatter normalisation, and the dry and wet reference calculation. The performance of different configurations in this study are assessed using the Quality Assurance Service for Satellite Soil Moisture Data to validate retrieved soil moisture time series with in-situ measurements provided by the International Soil Moisture Network. Soil moisture retrieval improves over most land cover and climate types when a dynamic regularised backscatter-incidence angle relation is used for backscatter normalisation and the dry wet reference calculation. In particular, short term dynamics of retrieved soil moisture time series are found to improve significantly over most land covers and climate types. Future studies should investigate the use of the dynamic regularised backscatter-incidence angle relation for near real-time soil moisture retrieval, as well as soil moisture retrieval from the ESCAT scatterometer.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Earth Observation.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Paco Frantzen, Susan Steele-Dunne, Roland Lindorfer, Sebastian Hahn, Mariette Vreugdenhil, and Wolfgang Wagner

Status: open (until 12 Oct 2026)

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Paco Frantzen, Susan Steele-Dunne, Roland Lindorfer, Sebastian Hahn, Mariette Vreugdenhil, and Wolfgang Wagner

Data sets

QA4SM validation of ASCAT soil moisture using variations of the backscatter-incidence angle relation Paco Frantzen https://doi.org/10.5281/zenodo.22113299

Paco Frantzen, Susan Steele-Dunne, Roland Lindorfer, Sebastian Hahn, Mariette Vreugdenhil, and Wolfgang Wagner
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Short summary
Soil moisture content is important for vegetation health and evaporation, and can be estimated using microwave instruments on satellites. For one of such instruments, ASCAT, the surface reflective properties  must be estimated to retrieve soil moisture. We assess whether a new method for estimating reflective properties improves the ASCAT soil moisture estimates, by comparing  them with measurements from soil moisture probes. We found that the new method improves ASCAT soil moisture estimates.
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