Assessing Spatial and Temporal Soil Water Content Variation with GPR

2008 ◽  
pp. 345-358
2003 ◽  
Vol 2 (4) ◽  
pp. 519
Author(s):  
J. A. Huisman ◽  
J. J. J. C. Snepvangers ◽  
W. Bouten ◽  
G. B. M. Heuvelink

2010 ◽  
Vol 34 (5) ◽  
pp. 1733-1741 ◽  
Author(s):  
Thais Emanuelle Monteiro dos Santos ◽  
Demetrius David da Silva ◽  
Abelardo Antônio de Assunção Montenegro

Rainfall in the semiarid region of Pernambuco is characterized by irregular distribution in time and space, which significantly hinders the rainfed agriculture in the region. This work aims to evaluate the temporal profile of soil moisture in the semiarid region of the Pernambuco State (Brazil) and the effect of different soil surface conditions on soil water content variation and the yield of rainfed beans. To monitor soil water content, five plots 4.5 m wide by 11 m long were installed in a Yellow Argisol (Ultisol). The following treatments were adopted in the experimental plots: natural vegetation, bean intercropped with cactus, beans planted down the slope, beans planted along contour lines with mulch and rock barriers, and bare soil. In each plot, eight PVC access tubes were installed for monitoring the soil water content profile at depths of 0.20 and 0.40 m using a neutron probe device. The surface condition significantly influenced the soil water content variation, both in the dry and rainy seasons. The use of mulch, associated with rock barriers, provided higher soil water content levels than the other treatments and increased the rainfed beans production.


2020 ◽  
Vol 591 ◽  
pp. 125593
Author(s):  
Florian Mallet ◽  
Vincent Marc ◽  
Johnny Douvinet ◽  
Philippe Rossello ◽  
Daniel Joly ◽  
...  

2020 ◽  
Author(s):  
Hwan-hui Lim ◽  
Seung-Rae Lee ◽  
Enok Cheon ◽  
Deukhwan Lee ◽  
Seungmin Lee

<p>Soil water content is one of the most common physical parameters that cause landslides or debris flow. Therefore, it is of very importance to determine or predict the water content variation due to infiltration of rainfall quickly and non-destructively. This study investigates the hyperspectral informations in the visible near-infrared regions (VNIR, 400nm~1000nm) of different samples of granite soils possessing varying water contents. Totally 162 granite samples were taken from 3 mountain areas. A Partial Least Squares Regression (PLSR) analysis was applied to develop calibration models and prediction models.  In the water content variation prediction model, the Area of ​​Reflectance(Near-infrared, NIR) parameter was the most suitable parameter to determine the water content. The results demonstrate that the hyperspectral camera combined with the PLSR model can be a useful and non-destructive tool for the determination of soil water content variation in the weathered granite soils that could be applied to the evaluation of possible instable area in a mountain site.</p>


Author(s):  
M.C.H.Mouat Pieter Nes

Reduction in water content of a soil increased the concentration of ammonium and nitrate in solution, but had no effect on the concentration of phosphate. The corresponding reduction in the quantity of phosphate in solution caused an equivalent reduction in the response of ryegrass to applied phosphate. Keywords: soil solution, soil water content, phosphate, ryegrass, nutrition.


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