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The domain with best performance is used for estimating the soil moisture deficit (SMD).
A unique parametric change study is performed by altering the original NDVI values for estimating the soil erosion rate with different vegetation density.
To overcome this limitation, the possibility of estimating the soil hydraulic properties through model calibration to remotely sensed near-surface soil moisture observation is explored.
This paper presents a portable and modified design of the hood infiltrometer (MHI) that, unlike to the original hood infiltrometer, allows estimating the soil hydraulic properties from the transient cumulative infiltration curve.
In this paper, based on the assumption that the shape of the soil freezing characteristic curve is mainly dependent upon the pore-size distribution of the soil, a mathematic model for estimating the soil freezing characteristic curve is proposed.
With this in view, efforts were made to develop artificial neural network (ANN) models that can be employed for estimating the soil electrical resistivity based on its soil thermal resistivity and the degree of saturation.
Similar(51)
A simple new model for estimating the soil-rock permeability reduction due to the well clogging has been presented.
By taking into account the thermal conductivity of the soil the FVM avoids over-estimating the soil temperature.
A mathematical model was derived to estimate the soil infiltration rate from the wetted soil surface.
For optimum irrigation practices, it becomes essential to accurately estimate the soil moisture.
One-dimensional nonlinear consolidation theory is invoked to estimate the soil settlement and shear strength.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com