Multi-channel GPR to assess the influence of shallow structural heterogeneity on spatio-temporal variations of near-surface soil water content

2012 ◽  
Author(s):  
Xicai Pan ◽  
P. Klenk ◽  
K. Roth ◽  
Jiabao Zhang ◽  
Ping Huang ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Structural Heterogeneity ◽  
Temporal Variations ◽  
Near Surface ◽  
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

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.

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