There is a newer version of the record available.

Published September 5, 2025 | Version v1
Dataset Open

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

  • 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)

Name Size Download all
Checksum: md5:a7aa3a210ec8ee39cb7e22b78489525b

PID: http://hdl.handle.net/11304/fd4c3cc5-ef4a-45da-8260-85d97042a4d4
1.3 MB Preview Download
Checksum: md5:08efc6f2a433a04bb16d30b38cc84999

PID: http://hdl.handle.net/11304/e1b1e1d9-63a7-4d97-8936-d27f26e60c18
13.0 kB Preview Download
Checksum: md5:493e6e8ee63e1c2d81f0583c1492202e

PID: http://hdl.handle.net/11304/558f60b0-3dd2-44e7-a850-db8878789f34
278.2 MB Preview Download
Checksum: md5:5e8e35eee74c8f40bb3aef202d05b48c

PID: http://hdl.handle.net/11304/3a63c2ce-a1a4-44a3-bbf3-3d3f583ab86b
274.8 kB Preview Download
Checksum: md5:34bdfbc124b29667c7dca20bb5793745

PID: http://hdl.handle.net/11304/35887bbf-2ba2-4b7a-81c3-572ec184e37c
8.1 kB Preview Download
Checksum: md5:17b3b318555936a4e8f9a26c917e222a

PID: http://hdl.handle.net/11304/016f7cf6-d2f3-47ef-b857-aef541d34853
2.3 kB Preview Download
Checksum: md5:a132682b8658d32192508e5e3600545a

PID: http://hdl.handle.net/11304/7c856c33-9887-4652-811a-dc5d5924c797
7.6 MB Preview Download
Checksum: md5:b9bbf644297fddce45c10bc666af90d6

PID: http://hdl.handle.net/11304/2e47da5b-7e6b-4986-8065-89118b3cc557
11.5 MB Preview Download
Checksum: md5:de3829cbcf27dcf2aa731a6fd349aacd

PID: http://hdl.handle.net/11304/738177b5-bd4c-4e1c-a84f-a9d5c9257d54
8.6 MB Preview Download
Checksum: md5:20086f11d4ebff18ce1d87a096eeeaea

PID: http://hdl.handle.net/11304/9579411d-f8ef-4112-9b88-ef6680fabe54
224.2 kB Preview Download
Checksum: md5:72956a4f559aa0182e9b4d8b818d5cfc

PID: http://hdl.handle.net/11304/913c2fed-f3f7-47e4-84fb-69ffcf5cf561
45.1 kB Preview Download
Checksum: md5:62fb41b6d169c20aecb9440abc246a79

PID: http://hdl.handle.net/11304/7ab1443a-2e2d-43d1-bf18-64d77f565133
1.7 MB Preview Download
Checksum: md5:9f0ce4c8b97e56c4139f47c4401aaf33

PID: http://hdl.handle.net/11304/7f463a93-1957-43ae-92b7-3f21b6612e93
11.8 MB Preview Download
Checksum: md5:0c279e2dca2babcd3bea727ff19464ad

PID: http://hdl.handle.net/11304/804e276a-3d96-4143-be6a-bde05d4e904c
185.8 kB Preview Download
Checksum: md5:3bf8aab6732ede108c14ec364caea184

PID: http://hdl.handle.net/11304/980067ba-3224-4953-976f-809e93540b47
5.3 GB Preview Download
Checksum: md5:6a0ff00069f6b13da45ea6bb2b11ab50

PID: http://hdl.handle.net/11304/16e839fb-c1c9-4c06-be44-d40c2366b5d2
4.9 GB Preview Download
Checksum: md5:8e3ee94e43e5521b9f0583de70e17d40

PID: http://hdl.handle.net/11304/04170136-0833-49be-a59c-a2df8bd83625
612.8 MB Preview Download

Additional details

Identifiers

B2SHARE Legacy Record ID
db88e149f7924919be376909856739f1