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. 2008 Jan 9;8(1):70–117. doi: 10.3390/s8010070

Table 4.

An overview of methods to determine soil moisture content for point and area scales.

Scale Methods Example Description
Point/local Gravimetric Oven-drying Standard method, destructive sampling
Nuclear Neutron scattering Fast neutrons emitted from a radioactive source are slowed down by hydrogen atoms in the soil
Gamma attenuation The scattering and absorption of gamma rays is related to the density of matter in their path
Nuclear magnetic resonance Soil water is subjected to both a static and an oscillating magnetic field at right angles to each other
Electro-magnetic Resistive sensor Soil resistivity depends on the soil electrical properties and moisture
Capacitive sensor Using the dielectric constant by measuring capacitance between two electrodes implanted in the soil
Time-domain-reflectometer Propagation of electromagnetic signals. Velocity and attenuation depend on soil properties: water content and electrical conductivity
Frequency domain An oscillator detects changes in soil dielectric properties linked to variations in soil water content
Tensiometric Soil matrix tension Measures the soil matrix potential (capillary tension)
Hydrometric Thermal inertia Relationship between moisture in porous materials and the relative humidity. Since thermal inertia of a porous medium depends on moisture, soil surface temperature is indicative
Heat dissipation Heat pulse Rising or cooling of temperature in a porous block is measured after a heat pulse
Feel and Appearance Manual Soil moisture interpretation chart based on texture classification and manual squeezing of soil samples
Optical Polarized light The presence of moisture at a surface of reflection tends to cause polarization in the reflected beam
Fibre optic sensors Light attenuation in the unclad fiber embedded in the soil varies with the soil water amount in contact with the fiber because of its effect on the refractive index
Near-infrared Molecular absorption of water in the surface layers
1D hydrologic models WAVE, SWAP Based on solving the 1-D Richards equation with knowledge on atmospheric upper and soil bottom boundary conditions
Spatial/regional Remote sensing VIS, NIR, SWIR Reflected electromagnetic energy from the soil surface
TIR emittance Emitted EM energy in the thermal spectral band from the soil surface
Microwave emission RADAR Emitted microwave EM energy from the soil surface Attenuation/backscattering of microwave energy as an indication of moisture content of porous media
Catchment models SWAT, MIKE-SHE Solving the 3D Richards equation knowing atmospheric upper and soil bottom boundary conditions

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