Spatio-temporal subsurface soil moisture (40 cm depth) within an agricultural field in the Netherlands

doi: 10.4121/13376960.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13376960
Datacite citation style:
Carranza, Coleen; Gertsen, Henny; Peters, Piet; M.J. (Martine) van der Ploeg (2021): Spatio-temporal subsurface soil moisture (40 cm depth) within an agricultural field in the Netherlands. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/13376960.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 3 - 2021-02-05 (latest)
version 2 - 2020-12-21 version 1 - 2020-12-18
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usage stats
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views
353
downloads
geolocation
Haps, N. Brabant, Netherlands
lat (N): 51.7 degrees N
lon (E): 5.87 degrees E
time coverage
Summer 2017: 27 June - 13 September Winter 2017: 17 October - 2 March Summer 2018: 17 May - 22 August
licence
cc-0.png logo CC0
Spatio - temporal soil moisture measurements at 40 cm depth in an agricultural field in Haps, N. Brabant, the Netherlands. A total of 25 stations are distributed in a cultivates field that covers approximately 2.3 ha. of land area.

The datasets were collected over three seasons (summer 2017, winter 2017, summer 2018) using 5TM soil moisture sensors. The measurements were logged every 15 minutes.

In 2017, the crops in the field were potato and corn. After the harvest, a portion of the field was converted to grass for grazing. This was not desired because the sensors could be damaged by cattle. Twelve stations were relocated to another part of the field to avoid the grass field. In 2018, the only corn was planted where the stations were installed. Sandy soils were encountered at the study site.


history
  • 2020-12-18 first online
  • 2021-02-05 published, posted
publisher
4TU.ResearchData
format
zipped .csv and .shp files
funding
  • Optimizing Water Availability with Sentinel-1 Satellites (OWAS1S) (grant code 16912) [more info...] Dutch Research Council
organizations
Wageningen University, Soil Physics and Land Management Group

DATA

files (1)