The thermal inertia approach to mapping of soil moisture and geology

Pratt, David A.; Ellyett, C. D.

doi:10.1016/0034-4257(79)90014-2

Cited by 117 publications

(56 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the relationship between the soil water content (θ d ) and thermal inertia (P θ ) given by Ma and Xue (1990) (equation (29) Equation (29) does not take into account the vegetation cover, which insulates the ground during night time, maintaining higher temperatures if compared to bare ground, and, therefore, in principle, equation (29) has to be applied to bare soils only. Moreover, according to Pratt and Ellyett (1979), it should be highlighted that P θ is meaningless when θ = 0 (null P θ ), yet θ lower than the residual value, θ R for a given soil is not feasible; θ R (m 3 m -3 ) is assumed equal to 0.029 in the present case. Despite these limitations, equation (29) can be easily applied allowing surface water content retrieval through an iterative procedure controlled by a P RS convergence threshold, as described below.…”

Section: Thermal Inertia Modelling By Means Of Soil Water Contentmentioning

confidence: 93%

Critical analysis of thermal inertia approaches for surface soil water content retrieval

Maltese

Bates

Capodici

et al. 2013

Hydrological Sciences Journal

View full text Add to dashboard Cite

The "thermal inertia" method to retrieve surface soil water content maps on bare or sparsely-vegetated soils is analysed. The study area is a small experimental watershed, where optical and thermal images (in day and night time) and in situ data were simultaneously acquired. The sensitivity of thermal inertia to the phase difference between incoming radiation and soil temperature is demonstrated. Thus, to obtain an accurate value of the phase difference, the temporal distance between thermographs using a three-temperature approach is evaluated. We highlight when a cosine correction of the temperature needs to be applied, depending on whether the thermal inertia formulation includes two generic acquisition times, or not. Finally, the deviation in soil water content retrieval is quantifies for given values of each parameter by performing a sensitivity analysis on the basic parameters of the thermal inertia method that are usually affected by calibration errors.Key words thermal inertia; surface soil water content; remote sensing Analyse critique des approches fondées sur l'inertie thermique pour la cartographie de la teneur en eau de la surface du sol Résumé La méthode de « l'inertie thermique » pour la cartographie de la teneur en eau de la surface des sols nus ou à végétation clairsemée est analysée. La zone d'étude est un petit bassin versant expérimental, où des images optiques et thermiques (de jour et de nuit) et des données in situ ont été acquises simultanément. On a mis en évi-dence la sensibilité de l'inertie thermique à la différence de phase entre le rayonnement incident et la température du sol. Ainsi, pour obtenir une valeur précise de la différence de phase, nous avons évalué la distance temporelle entre thermographes en utilisant une approche à trois températures. Cet article montre la nécessité éventuelle d'une correction cosinusoïdale de la température, selon que la formulation de l'inertie thermique comprend ou non deux temps d'acquisition génériques. Enfin, l'article quantifie la variabilité de la teneur en eau du sol pour des valeurs données de chaque paramètre en effectuant une analyse de sensibilité sur les paramètres de base de la méthode de l'inertie thermique qui sont généralement affectés par des erreurs d'étalonnage.

show abstract

Section: Thermal Inertia Modelling By Means Of Soil Water Contentmentioning

confidence: 93%

Critical analysis of thermal inertia approaches for surface soil water content retrieval

Maltese

Bates

Capodici

et al. 2013

Hydrological Sciences Journal

View full text Add to dashboard Cite

show abstract

“…Since then, thermal inertia can be estimated by incident flux, the increment of surface temperature and time of duration. Due to the three parameters can be obtained by remote sensing method in large area, thermal inertia has been applied widely in geography, such as discriminating categories of rock and soil moisture estimating [28][29][30][31][32][33][34].…”

Section: The Thermal Inertia Modelmentioning

confidence: 99%

Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval

Zhang

et al. 2015

Proceedings of 1st International Electronic Conference on Remote Sensing

View full text Add to dashboard Cite

Abstract:With the development of quantitative remote sensing, regional evapotranspiration (ET) modeling based on the feature space has made substantial progress. Among those feature space based evapotranspiration models, accurate determination of the dry/wet lines remains a challenging task. This paper reports the development of a new model, named DDTI (Determination of Dry line by Thermal Inertia), which determines the theoretical dry line based on the relationship between the thermal inertia and the soil moisture. The Simplified Thermal Inertia value estimated in the North China Plain is consistent with the value measured in the laboratory. Three evaluation methods, which are based on the comparison of the locations of the theoretical dry line determined by two models (DDTI model and the heat energy balance model), the comparison of ET results, and the comparison of the evaporative fraction between the estimates from the two models and the in situ measurements, were used to assess the performance of the new model DDTI. The location of the theoretical dry line determined by DDTI is more reasonable than that determined by the heat energy balance model. ET

show abstract

“…VECIE would appear to perform well in moderate environmental situations such as lawns, pastures, and rangelands. (Gillespie and Kahle 1977;Pratt and Ellyett 1979;Holmes, Nuesch, and Vincent 1980). This seems to be due, in part, to a lack of a usable tool for examining the effects of vegetation in a real world.…”

Section: / "mentioning

confidence: 99%

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Balick¹,

Scoggins²,

Link³

1981

View full text Add to dashboard Cite

The thermal inertia approach to mapping of soil moisture and geology

Cited by 117 publications

References 10 publications

Critical analysis of thermal inertia approaches for surface soil water content retrieval

Critical analysis of thermal inertia approaches for surface soil water content retrieval

Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Contact Info

Product

Resources

About