Near-Surface Soil Water Content Measurements Using Horn Antenna Radar: Methodology and Overview

2003 ◽  
Vol 2 (4) ◽  
pp. 500-510 ◽  
Author(s):  
G. Serbin ◽  
D. Or
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Horn Antenna ◽  
Near Surface

Estimation of the near surface soil water content during evaporation using air‐launched ground‐penetrating radar

2013 ◽  
Vol 12 (5) ◽  
pp. 623-634 ◽  
Author(s):  
Davood Moghadas ◽  
Khan Zaib Jadoon ◽  
Jan Vanderborght ◽  
Sébastien Lambot ◽  
Harry Vereecken
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Ground Penetrating Radar ◽  
Surface Soil ◽  
Near Surface ◽  
Ground Penetrating

scholarly journals Summary of Advances in Heat-Pulse Methods: Measuring Near-Surface Soil Water Content

2018 ◽  
Vol 82 (5) ◽  
pp. 1015-1015
Author(s):  
Xiao Zhang ◽  
Tusheng Ren ◽  
Joshua Heitman ◽  
Robert Horton
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Heat Pulse ◽  
Near Surface

What Can Thermal Sensing Reveal in a Forest Tree Nursery?

1983 ◽  
Vol 59 (2) ◽  
pp. 70-73 ◽  
Author(s):  
J. Vlcek ◽  
D. King
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Forest Tree ◽  
Subsurface Water ◽  
Typical Result ◽  
Near Surface ◽  
Tree Nursery ◽  
Thermal Sensing

Close range and airborne thermal studies were conducted to examine the near-surface soil water content – surface temperature relationship both quantitatively and qualitatively. A typical result showing the linear correlation between the diurnal surface soil/canopy temperature difference and soil water content at a depth of 5-7 cm for fields covered by seedlings in a forest tree nursery is presented. Interpretation of several thermal images reveals details of natural and artificial surface and subsurface drainage systems in a nursery that are not visible on the ground or on aerial photography. Thermal patterns related to irrigation systems, wind and forest canopies are also examined. Such information is useful in studying subsurface water migration and irrigation efficiency and is an aid to drainage system design and water management practices. Key Words: Thermal sensing, Tree nursery, Subsurface soil moisture, Thermal image interpretation, Artificial, natural draining, Irrigation.

Chloride leaching in two Ontario soils: Measurement and prediction using HYDRUS-1D

2012 ◽  
Vol 92 (2) ◽  
pp. 285-296 ◽  
Author(s):  
J. K. Saso ◽  
G. W. Parkin ◽  
C. F. Drury ◽  
J. D. Lauzon ◽  
W. D. Reynolds
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Agricultural Soils ◽  
Depth Interval ◽  
Deep Drainage ◽  
Near Surface ◽  
Chloride Leaching ◽  
Hydrus 1D

Saso, J. K., Parkin, G. W., Drury, C. F., Lauzon, J. D. and Reynolds, W. D. 2012. Chloride leaching in two Ontario soils: Measurement and prediction using HYDRUS-1D. Can. J. Soil Sci. 92: 285–296. Deterministic numerical modelling can often be used to complement and extend field results, and to provide extra insight into the mechanisms of water and solute movement within the profile of agricultural soils. Chloride leaching and near-surface soil water content in a Guelph loam and a Maryhill loam cropped to corn (Zea mays L.) were measured over a 12-mo period (October 2007 to September 2008) and simulated using the HYDRUS-1D numerical model (version 4.12). Field measurements and prediction indicated that over 70% of the applied chloride (Cl) was lost to deep drainage (below 80 cm depth) during the winter months (November 2007 to April 2008) in both soils. Normalized root mean square error (NRMSE) values for HYDRUS-1D estimates of near-surface (0- to 30-cm depth interval) soil water content over the growing season (April to September, 2008) were 28% for Guelph loam and 42% for Maryhill loam. The NRMSE value for estimated versus measured Cl mass remaining in the soil profile (0–80 cm depth interval) over the winter months was 17% for both soils. It was concluded that the HYDRUS-1D model can provide reasonable predictions of near-surface soil water content and profile leaching losses of tracer solutes. Further work is required, however, to determine if the predictive ability of HYDRUS-1D might be improved by incorporating the effects of freeze-thaw cycles on soil hydraulic properties and solute leaching. Further study is also required to establish the model's ability to simulate the leaching behaviour of reactive solutes, such as nitrate, in agricultural soils.

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