A capacitive soil moisture sensor

Eller, H.; Denoth, A.

doi:10.1016/0022-1694(95)03003-4

Cited by 104 publications

(62 citation statements)

References 9 publications

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“…It appears that recurring dry seasons foster fuel availability and reduce fuel moisture content, resulting in potentially more damaging high-intensity fires, which may spread rapidly during extremely dry conditions. Soil moisture, defined as the volumetric water content of soil (Eller & Denoth, 1996), is an important indicator of dry conditions and is linked to wildfire occurrence. The reduction of water in soil increases dry conditions, resulting in more intense and longer burning fires (Kozlowski & Pallardy, 2002;Chmura et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Mapping Soil Moisture as an Indicator of Wildfire Risk Using Landsat 8 Images in Sri Lanna National Park, Northern Thailand

Burapapol¹,

Nagasawa²

2016

JAS

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Severely dry climate plays an important role in the occurrence of wildfires in Thailand. Soil water deficits increase dry conditions, resulting in more intense and longer burning wildfires. The temperature vegetation dryness index (TVDI) and the normalized difference drought index (NDDI) were used to estimate soil moisture during the dry season to explore its use for wildfire risk assessment. The results reveal that the normalized difference wet index (NDWI) and land surface temperature (LST) can be used for TVDI calculation. Scatter plots of both NDWI/LST and the normalized difference vegetation index (NDVI)/LST exhibit the triangular shape typical for the theoretical TVDI. However, the NDWI is more significantly correlated to LST than the NDVI. Linear regression analysis, carried out to extract the maximum and minimum LSTs (LST max , LST min ), indicate that LST max and LST min delineated by the NDWI better fulfill the collinearity requirement than those defined by the NDVI. Accordingly, the NDWI-LST relationship is better suited to calculate the TVDI. This modified index, called TVDI NDWI-LST , was applied together with the NDDI to establish a regression model for soil moisture estimates. The soil moisture model fulfills statistical requirements by achieving 76.65% consistency with the actual soil moisture and estimated soil moisture generated by our model. The relationship between soil moisture estimated from our model and leaf fuel moisture indicates that soil moisture can be used as a complementary dataset to assess wildfire risk, because soil moisture and fuel moisture content (FMC) show the same or similar behavior under dry conditions.

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Section: Introductionmentioning

confidence: 99%

Mapping Soil Moisture as an Indicator of Wildfire Risk Using Landsat 8 Images in Sri Lanna National Park, Northern Thailand

Burapapol¹,

Nagasawa²

2016

JAS

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“…The values of water loss, wavelength shift, and strain are calculated using (1), (2), and (3) and listed in Table 1. Note that a very small amount of water loss from the coated gel generated a large amount of strain with associated Bragg peak reflection.…”

Section: Resultsmentioning

confidence: 99%

“…A wide variety of fibre optical humidity sensors have already been produced and can be divided broadly into (i) capacitive sensors in the form of interdigitated arrays, films, or probes [2,6,7], (ii) electrical resistivity sensors in the form of probes or films [8,9], (iii) microwave sensors [10][11][12], and (iv) fibre optic Bragg sensors using polyimide coatings [13]. A majority of such sensors are based on electronics and measure changes in electron transduction due to humidity.…”

Section: Introductionmentioning

confidence: 99%

“…The measurement of moisture is an important parameter in many applications such as structural health monitoring [1], agriculture [2], food quality assessment [3], and materials processing [4,5]. A wide variety of fibre optical humidity sensors have already been produced and can be divided broadly into (i) capacitive sensors in the form of interdigitated arrays, films, or probes [2,6,7], (ii) electrical resistivity sensors in the form of probes or films [8,9], (iii) microwave sensors [10][11][12], and (iv) fibre optic Bragg sensors using polyimide coatings [13].…”

Section: Introductionmentioning

confidence: 99%

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Azobenzene-Based Gel Coated Fibre Bragg Grating Sensor for Moisture Measurement

Moniruzzaman

Rock

2016

International Journal of Polymer Science

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A fibre Bragg grating sensor is coated with a novel polymer gel in order to investigate its suitability for nondestructive measurement of moisture in materials that can potentially lose their integrity due to moisture ingress. Absorption and desorption of moisture lead to swelling/shrinkage of an azobenzene-based gel, which induces a strain in the Bragg grating resulting in wavelength shifts. The results demonstrated that the amount of wavelength shift is linearly dependent on the amount of water ingress by the gel. The performance of the proposed optical fibre moisture sensor was found to be repeatable with no detectable hysteresis and has the potential to offer a low-cost route for monitoring moisture content.

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“…2 However, these measurements operate at very large frequencies ͑above MHz͒ and involve complex and expensive devices. Furthermore the dielectric permittivity systems are mainly aimed at high volumetric water contents ͓with (%)ϭ100(V w /V s ), where V w is the total volume of water in the total volume of all soil components, V s ͔.…”

Section: Determination Of the Humidity Of Soil By Monitoring The Condmentioning

confidence: 99%

Determination of the humidity of soil by monitoring the conductivity with indium tin oxide glass electrodes

Fabregat‐Santiago

Ferriols

García-Belmonte

et al. 2002

Applied Physics Letters

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A number of approaches to the determination of water content of soil use a dielectric permittivity measurement, which is accurate but involves expensive and complex devices. We explore the use of indium tin oxide, a wide-band gap semiconductor with high conductivity, long-term stability, and low cost, to build a cheap sensor of low humidity values for automatic irrigation systems. The electrical resistance determined by an ac impedance method discounts the effects of electrode contacts and provides a reliable measure of the water content, even when the chemical conditions of water vary widely. The reason for this is that, at low values of humidity, the conductivity is controlled by a surface conduction mechanism that is largely insensitive to the electrolytic properties of added water. The results appear promising for applications that require the detection of very low levels of humidity in soil.

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A capacitive soil moisture sensor

Cited by 104 publications

References 9 publications

Mapping Soil Moisture as an Indicator of Wildfire Risk Using Landsat 8 Images in Sri Lanna National Park, Northern Thailand

Mapping Soil Moisture as an Indicator of Wildfire Risk Using Landsat 8 Images in Sri Lanna National Park, Northern Thailand

Azobenzene-Based Gel Coated Fibre Bragg Grating Sensor for Moisture Measurement

Determination of the humidity of soil by monitoring the conductivity with indium tin oxide glass electrodes

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