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Published December 12, 2025 | Version v2
Dataset Open

The Potsdam Soil Moisture Observatory: High-coverage reference observations at kilometer scale

Creators

  • 1. UFZ - Helmholtz Centre for Environmental Research GmbH, Dep. Monitoring and Exploration Technologies, Permoserstr. 15, 04318 Leipzig, Germany
  • 2. Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24--25, 14476 Potsdam Germany
  • 3. UFZ - Helmholtz Centre for Environmental Research GmbH, Dep. Computational Hydrosystems, Permoserstr. 15, 04318 Leipzig, Germany
  • 4. GFZ Helmholtz Centre for Geosciences, Section Remote Sensing and Geoinformatics, Telegrafenberg, 14473 Potsdam, Germany
  • 5. Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany
  • 6. Consiglio Nazionale delle Ricerche (CNR), Area della Ricerca di Bari, Via Amendola 122/D-O, 70126 Bari, Italy
  • 7. GFZ Helmholtz Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany
  • 8. BOKU University, Soil Physics and Rural Water Management, Muthgasse 18, 1190 Vienna, Austria
  • 9. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany

Description

The dataset comprises 16 permanent stations, each equipped with a CRNS sensor and co-located soil water profile probes as well as shallow point-scale soil moisture sensors. Additional data is available from two groundwater wells, meteorological stations, and additional datasets such as neutron spectrometer measurements, landuse, snow parameters (depth, density, areal cover), LiDAR and hyperspectral imagery, electrical resistivity tomography (ERT), stable water isotopes and and extensive soil sampling complement the data set. 
The two-year record captured a wide range of hydro-meteorological conditions, including droughts, heavy rainfall and snow cover making it a valuable resource for advancing CRNS methodology and hydrological research. Monitoring at PoSMO is intended to be continued further, to finally be able to provide a three-years data set (as a future update to this data set).

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Additional details

Identifiers

DOI
10.23728/b2share.db88e149f7924919be376909856739f1