Spatio-Temporal Kriging of Soil Water Content

1997 ◽  
pp. 1020-1030 ◽  
Author(s):  
G. B. M. Heuvelink ◽  
P. Musters ◽  
E. J. Pebesma
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Spatio Temporal

Spatio-temporal variability behavior of land surface soil water content in shrub- and grass-land

Geoderma ◽  
2011 ◽  
Vol 162 (3-4) ◽  
pp. 260-272 ◽  
Author(s):  
Wei Hu ◽  
Mingan Shao ◽  
Fengpeng Han ◽  
Klaus Reichardt
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Temporal Variability ◽  
Land Surface ◽  
Surface Soil ◽  
Grass Land ◽  
Spatio Temporal

Soil water content interpolation using spatio-temporal kriging with external drift

Geoderma ◽  
2003 ◽  
Vol 112 (3-4) ◽  
pp. 253-271 ◽  
Author(s):  
J.J.J.C Snepvangers ◽  
G.B.M Heuvelink ◽  
J.A Huisman
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Kriging With External Drift ◽  
Spatio Temporal ◽  
External Drift

scholarly journals The integrated water balance and soil data set of the Rollesbroich hydrological observatory

2016 ◽  
Author(s):  
Wei Qu ◽  
Heye R. Bogena ◽  
Johan A. Huisman ◽  
Marius Schmidt ◽  
Ralf Kunkel ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Temporal Dynamics ◽  
Meteorological Data ◽  
Temporal Variations ◽  
Hydrological Models ◽  
Data Set ◽  
Western Germany ◽  
Spatio Temporal

Abstract. The Rollesbroich headwater catchment located in Western Germany is a densely instrumented hydrological observatory and part of the TERENO (Terrestrial Environmental Observatories) initiative. The measurements acquired in this observatory present a comprehensive dataset that contains key hydrological fluxes in addition to important hydrological states and properties. Meteorological data (i.e. precipitation, air temperature, air humidity, radiation components, and wind speed) are continuously recorded and actual evapotranspiration is measured using the eddy covariance technique. Runoff is measured at the catchment outlet with a gauging station. In addition, spatio-temporal variations in soil water content and temperature are measured at high resolution with a wireless sensor network (SoilNet). Soil physical properties were determined using standard laboratory procedures from samples taken at a large number of locations in the catchment. This comprehensive data set can be used to validate remote sensing retrievals and hydrological models; to improve the understanding of spatial temporal dynamics of soil water content; to optimize data assimilation and inverse techniques for hydrological models; and to develop upscaling and downscaling procedures of soil water content information. The complete data set is freely available online (http://www.tereno.net).

scholarly journals Evaluating soil water content data monitored at different locations in a vineyard with regard to irrigation control

2017 ◽  
Vol 12 (No. 3) ◽  
pp. 152-160 ◽  
Author(s):  
R. Nolz ◽  
W. Loiskandl
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Irrigation Management ◽  
Temporal Stability ◽  
Considerable Variability ◽  
Irrigation Control ◽  
Spatio Temporal ◽  
Subsurface Drip ◽  
The Given

Knowledge on the water content of a certain soil profile and its temporal changes due to rainfall and plant water uptake is a key issue for irrigation management. In this regard, sensors can be utilized to monitor soil water content (SWC). Due to the characteristic spatial variability of SWC, a key question is whether the measurements are representative and reliable. This study focused on the assessment of SWC and its variability in a vineyard with subsurface drip irrigation. SWC was measured in profiles down to a 50 cm depth by means of multi-sensor capacitance probes. The probes were installed at six locations along vine rows. A temporal stability analysis was performed to evaluate the representativeness and reliability of each monitoring profile with regard to irrigation control. Mean SWC was within a plausible range compared to unsaturated hydraulic parameters determined in a laboratory. The measurements revealed a considerable variability, but standard deviations were comparable to values from literature. The main finding was that some monitoring profiles (probes) proved to be more suitable to monitor SWC with respect to irrigation control than the others. Considering temporal stability provided helpful insights into the spatio-temporal variability of SWC measurements. However, not all questions that are related to the concept of temporal stability could be answered based on the given dataset.

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