Supplement to: Long-term soil moisture dynamics derived from GNSS interferometric reflectometry: A case study for Sutherland, South Africa

DOI

We provide data of a case study from the GNSS station Sutherland, South Africa (SUTM). This data set contains soil moisture derived from GNSS data using reflectometry. It covers a time period from January 1, 2008 to September 1, 2014 and gives the integral soil moisture over an area of 60 by 60 m for the uppermost surface (max. down to 10 cm. depth) The data are daily averages based on daily measurements from 6 different satellites. The GNSS derived soil moisture was validated by Time Domain Reflectometry (TDR) observations. The detailed description of the processing, the evaluation with TDR and the discussion of the results is described in Vey et al. (2015).The data are provided in ASCII format with four colums: (1) year (YEAR) (2) day of the year (DOY) (3) volumetric soil moisture as average over all satellite tracks (SM Vol %) (4) accuracy, root mean square error of soil moisture from a single satellite track compared to the mean of all satellites (RMSE Vol %).

Identifier
DOI https://doi.org/10.5880/GFZ.1.1.2015.001
Related Identifier https://doi.org/10.1007/s10291-015-0474-0
Related Identifier https://doi.org/10.1002/wat2.1097
Related Identifier https://doi.org/10.1109/JSTARS.2009.2033612
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6122
Provenance
Creator Vey, Sibylle; Güntner, Andreas; Wickert, Jens; Blume, Theresa; Ramatschi, Markus
Publisher GFZ Data Services
Contributor Vey, Sibylle; Güntner, Andreas; Wickert, Jens; Blume, Theresa; Ramatschi, Markus; Helmholtz Alliance of Remote Sensing of Earth System Dynamics (HGF EDA); Benjamin Creutzfeldt; Pieter Fourie; Jaci Cloete
Publication Year 2015
Funding Reference Helmholtz Alliance of Remote Sensing of Earth System Dynamics (HGF EDA)
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Vey, Sibylle (GFZ German Research Centre for Geosciences)
Representation
Language English
Resource Type Dataset
Format text/plain
Size 45628 Bytes; 1 Files
Discipline Geosciences
Spatial Coverage (20.810 LON, -32.380 LAT); GNSS station Sutherland (SUTM) in South Africa