Published September 5, 2025
| Version
v1
Dataset
Open
The Potsdam Soil Moisture Observatory: High-coverage reference observations at kilometer scale
Creators
-
Grosse, Peter Martin1, 2
- Marret, Elodie3
-
Scheiffele, Lena3
-
Dimitrova Petrova, Katya3
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Francke, Till3
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Altdorff, Daniel3, 4
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Heistermann, Maik3
- Schiel, Merlin3
- Neumann, Carsten5
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Scheffler, Daniel5
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Saberioon, Mehdi5
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Kunz, Matthias5
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Zboril, Miroslav6
- Marach, Jonas6
- Reginatto, Marcel6
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Balenzano, Anna7
-
Rasche, Daniel8
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Stumpp, Christine9
- Trost, Benjamin10
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Oswald, Sascha E.3
- 1. Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24--25, 14476 Potsdam, Germany
- 2. UFZ - Helmholtz Centre for Environmental Research GmbH, Dep. Monitoring and Exploration Technologies, Permoserstr. 15, 04318 Leipzig, Germany
- 3. Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Stra\ss{}e 24--25, 14476 Potsdam, Germany
- 4. UFZ - Helmholtz Centre for Environmental Research GmbH, Dep. Computational Hydrosystems, Permoserstr. 15, 04318 Leipzig, Germany
- 5. GFZ Helmholtz Centre for Geosciences, Section Remote Sensing and Geoinformatics, Telegrafenberg, 14473 Potsdam, Germany
- 6. Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany
- 7. Consiglio Nazionale delle Ricerche (CNR), Area della Ricerca di Bari, Via Amendola 122/D-O, 70126 Bari, Italy
- 8. GFZ Helmholtz Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany
- 9. BOKU University, Soil Physics and Rural Water Management, Muthgasse 18, 1190 Vienna, Austria
- 10. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany
Description
The dataset comprises 16 stationary cosmic-ray neutron sensing (CRNS) sensors, partly co-located with permanent soil water content sensors, complemented by remote sensing–based soil moisture estimates, lidar, and airborne hyperspectral observations. It further includes two groundwater observation wells, meteorological records, and data from intensive manual sampling campaigns covering soil water content, bulk density, organic matter, soil texture, and hydraulic parameters. Additional components are snow parameters (depth, density, areal cover), electrical resistivity tomography (ERT), stable water isotope samples, and neutron spectrometer measurements. Owing to the high density and overlapping footprints of the CRNS sensors across ~1 km², the dataset enables geostatistical interpolation, resulting in spatially and temporally continuous soil moisture estimates.
Files
0_README.pdf
Files
(11.1 GB)
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Additional details
Identifiers
- B2SHARE Legacy Record ID
- db88e149f7924919be376909856739f1