Get Data


To learn more about Earthdata Login and to register for an account, please see How to Register with Earthdata Login. Once you have logged in, data can be downloaded via a Web browser, command line, or client. For help with downloading data, please see Options Available for Bulk Downloading Data from HTTPS with Earthdata Login.


Data Set ID:

SMAPVEX12 Probe-Based In Situ Soil Moisture Data for Agricultural Area, Version 1

This data set contains in situ soil moisture data collected at several agricultural sites as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12).

Geographic Coverage

  • Soils > Electrical Conductivity
  • Soils > Soil Moisture/Water Content
Spatial Coverage:
  • N: 49.96, S: 49.44, E: -97.85, W: -98.51

Spatial Resolution:
  • 0.8 km x 0.8 km
Temporal Coverage:
  • 7 June 2012 to 19 July 2012
Temporal Resolution: 2 day to 3 day
Data Format(s):
  • ASCII Text
Sensor(s): PROBES
Version: V1
Data Contributor(s): Paul Bullock, Aaron Berg, Grant Wiseman
Data Citation

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Wiseman, G., A. Berg, and P. Bullock. 2014. SMAPVEX12 Probe-Based In Situ Soil Moisture Data for Agricultural Area, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: [Date Accessed].

Back to Top

Collapse All / Open All

The documentation for this data set was provided solely by the Principal Investigator(s), and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.

Detailed Data Description

This data set is comprised of in situ measurements for the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX2012). The study site was divided into regional squares, approximately 800 m by 800 m in size, with several sample point locations.


Data are provided in Microsoft Excel and ASCII text files. Table 1 describes the soil sampling data columns of the data file: SV12PSMA_Soil_Moisture_Handheld_ver4.txt.

Table 1. Data Fields and Descriptions
Column Heading Description
OBJECT_ID ID of the sample
Sample_Date 2-digit month/2-digit day/2-digit year
Sample Time 2-digit hour:2-digit minute:2-digit second
Site_ID ID of the field and the sample point within the field
Soil_Moisture_Cal Calibrated volumetric soil moisture in m3/m3
Soil_Real_Dielectric Real part of the dielectric constant measured by the probe
Source Identifies the type of the probe used (either Hydra or Theta probe)
Calibration Identifies whether general or field specific calibration was applied
Comments Any remarks regarding the sample

Missing data are represented by a blank [ ], and by -9999 for soil moisture and real part of the dielectric constant.

Table 2 describes the columns of the data file, Field_Sites_ver4_coords.txt.

Table 2. Data Fields and Descriptions
Column Heading Description
OBJECTID ID of the data record
Site_ID ID of the field and the sample point within the field
X UTM X coordinate
Y UTM Y coordinate
Background color on
File and Directory Structure

Data files are available on the HTTPS site in the directory.

The field sites geolocation file is available here: Field_Sites_ver4_coords.txt.

Background color on
File Naming Convention

SV12PSMA_Soil_Moisture_Handheld_ver4.txt contains the soil moisture data from ground sampling.

Field_Sites_ver4_coords.txt contains the UTM coordinates for the sampling points.

Background color on
File Size

The data files range from approximately 30 KB to 2.5 MB.

Background color on
Spatial Coverage

Southernmost Latitude: 49.44°N
Northernmost Latitude: 49.96°N
Westernmost Longitude: 98.51°W
Easternmost Longitude: 97.85°W

Background color on
Spatial Resolution

Sampling was performed on sites approximately one quarter section (0.8 km by 0.8 km) in size.

Background color on

Data are provided in Universal Transverse Mercator (UTM) World Geodetic System 1984 (WGS84) coordinates.

Background color on
Temporal Coverage and Resolution

Measurements were taken every one to five days from 07 June 2012 through 19 July 2012.

Background color on
Parameter or Variable

Parameters in this data set include volumetric soil moisture and real part of the dielectric constant. The following table describes the units of measurement and sources of each parameter.

Table 3. Parameter Units and Sensors
Parameter Unit of Measurement Sensor
Volumetric soil moisture Water Fraction Volume (m3/m3) Theta and Hydra Probes
Real part of the dielectric constant Unitless Theta and Hydra Probes

Parameter Range

Valid parameter values are as follows: 
Volumetric soil moisture: 0 - 60% 
Real part of the dielectric constant: 0 - 110

Background color on

Software and Tools

No special tools are required to view these data. A spreadsheet program which recognizes tab-delimited text files, such as Microsoft Excel, is recommended. Any word-processing program or Web browser will also display the data.

Quality Assessment

See the SMAPVEX12 Hydra and Theta Probe Calibration document, released 19 December 2012.

Background color on

Data Acquisition and Processing

Theory of Measurements

Section Sampling

Sampling was performed on sites approximately one quarter section (800 m by 800 m) in size. Three soil moisture samples were taken at 16 locations in a field. See more details in sections 1.1 and 2.1.1 of the SMAPVEX12 Database Report, released 18 December 2012.

Background color on
Sensor or Instrument Description

Investigators used Stevens Hydra Probe II and Delta-T Devices ThetaProbe to measure surface volumetric soil moisture.

Hydra Probes

Hydra Probes are based on coaxial impedance dielectric reflectometry. The probes were connected to a PDA. They use an oscillator to generate an electromagnetic signal at 50 MHz that is propagated through three metal tines into the soil. The part of the signal that is reflected back to the unit is measured in volts and is used to numerically solve Maxwell's equations, to calculate the impedance and the real and imaginary dielectric permittivity.

Theta Probes

The Theta Probes have 4 separate 6-cm stainless steel rods inserted vertically into the soil. Each instrument was connected to a handheld reader, which delivers the electrical pulse, detects the return signal, and converts the period to a voltage between 0 V and about 1 V

Background color on
Processing Steps

Calibration of the Probe Measurements

See the SMAPVEX12 Hydra and Theta Probe Calibration document, released 19 December 2012.

Background color on
Error Sources

Error Sources

See the SMAPVEX12 Hydra and Theta Probe Calibration document, released 19 December 2012.

Background color on
Quality Assessment

See the SMAPVEX12 Hydra and Theta Probe Calibration document, released 19 December 2012.

Background color on

References and Related Publications

Contacts and Acknowledgments

Grant Wiseman
Science and Technology Branch
Agriculture and Agri-Food Canada
200-303 Main Street
Winnipeg, MB R3C 3G7, Canada
phone: +1 204.259.4006

Paul Bullock
Department of Soil Science
University of Manitoba
13 Freedman Crescent
Winnipeg, Manitoba R3T 2N2, Canada
phone: +1 204.474.8666

Aaron Berg
Department of Geography
University of Guelph
Guelph, ON, N1G 2W1, Canada
phone: +1 519.824.4120


Agriculture and Agri-Food Canada, National Aeronautics and Space Administration, U.S. Department of Agriculture, Environment Canada, U. Manitoba, U. Guelph, Massachusetts Institute of Technology, U. South Carolina, U. Colorado, U. Sherbrooke, Ohio State, U. Montana, Florida International U., U. Southern California, Texas A&M, Georgia Institute of Technology, U. Washington are acknowledged for their support for the campaign.

Field Sampling Team

Aaron Berg, University of Guelph
Alan Rich, University of Manitoba
Alicia Joseph, NASA GSFC
Alexandra Konings, MIT
Amine Merzouki, Agriculture and Agri-Food Canada
Bin Fang, U.S. Carolina
Brandon Wyryha, Agriculture and Agri-Food Canada
Brian Miller, University of Manitoba
Catherine Champagne, Agriculture and Agri-Food Canada
Craig Smith, Environment Canada
Christina Neva Rivera, Agriculture and Agri-Food Canada
Dominik Schneider, University of Colorado
Erika Podest, JPL
Erle Einarsson, Agriculture and Agri-Food Canada
Evan Rodgers, Agriculture and Agri-Food Canada
Grant Wiseman, Agriculture and Agri-Food Canada
Greg Gibbons, Agriculture and Agri-Food Canada
Heather McNairn, Agriculture and Agri-Food Canada
Hida Manns, University of Guelph
Hoda Jafarian, University of Sherbrooke
Jacqueline Freeman, Agriculture and Agri-Food Canada
Jeff Ouellette, Ohio State
Jennifer Watts, University of Montana
Jiali Shang, Agriculture and Agri-Food Canada
John Fitzmaurice, Agriculture and Agri-Food Canada
Jon Belanger, University of Guelph
Justin Adams, University of Guelph
Kalifa Goïta, University of Sherbrooke
Karel Janik, University of Sherbrooke
Kaighin McColl, MIT
Kurt Gottfried, Agriculture and Agri-Food Canada
Luis Perez, FIU - Florida International University
Marco Carrera, Environment Canada, Meteorological Research Division
Maria Abrahamowicz, Environment Canada
Mariko Burgin, University of Southern California
Maheshwari Neelman, Texas A&M
Matt Jones, University of Montana
Mehdi Hosseini, University of Sherbrooke
Mike Cosh, USDA, ARS Hydrology and Remote Sensing Laboratory
Mustafa Aksoy, Ohio State
Najib Djamai, University of Sherbrooke
Nandita Gaur, Texas A&M
Narendra Das, JPL
Parag Narvekar, MIT
Parinaz Rahimzadeh, University of Guelph
Patrick Rollin, Agriculture and Agri-Food Canada
Paul Bullock, University of Manitoba
Peggy O'Neill, NASA GSFC
Rachel Molloy, Agriculture and Agri-Food Canada
Rebecca Warren, University of Guelph
Rebecca Scriver, University of Guelph
Ramata Magagi, University of Sherbrooke
Robert Terwilleger, University of Florida
Rotimi Ojo, University of Manitoba
Ruzbeh Akbar, University of Southern California
Sab Kim, JPL
Sarah Banks, Agriculture and Agri-Food Canada
Sarah Dyck, Environment Canada
Saeid Homayouni, Agriculture and Agri-Food Canada
Shawna McKnight, Georgia Institute of Technology
Sonia Becenko, Agriculture and Agri-Food Canada
Stacie Westervelt, University of Manitoba
Steven Chan, JPL
Syed Anwar, Agriculture and Agri-Food Canada
Tien-Hoa Liao, University of Washington
Tracy Rowlandson, University of Guelph
Vanessa Escobar, NASA GSFC

Document Information


October 2013



No technical references available for this data set.
No FAQs or How Tos available for this data set.

Access complete Knowledge Base

Questions? Please contact:
NSIDC User Services
Phone: 1 303 492-6199