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Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data
CUNY Environmental Crossroads Initiative, The City College of New York, New York, NY 10031, USA
Ontario Agriculture College, University of Guelph, Guelph, Ontario N1G2W1, Canada
Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2G3G1, Canada
School of Engineering, University of Guelph, Guelph, ON N1G2W1, Canada
* Author to whom correspondence should be addressed.
Received: 21 May 2013; in revised form: 8 July 2013 / Accepted: 19 July 2013 / Published: 30 July 2013
Abstract: Thermal remote sensing of soil moisture in vineyards is a challenge. The grass-covered soil, in addition to a standing grape canopy, create complex patterns of heating and cooling and increase the surface temperature variability between vine rows. In this study, we evaluate the strength of relationships between soil moisture, mechanical resistance and thermal inertia calculated from the drop of surface temperature during a clear sky night over a vineyard in the Niagara region. We utilized data from two sensors, an airborne thermal camera (height ≈ 500 m a.g.l.) and a handheld thermal gun (height ≈ 1 m a.g.l.), to explore the effects of different field of views and the high inter-row temperature variability. Spatial patterns of soil moisture correlated more with estimated thermal inertia than with surface temperature recorded at sunrise or sunset. Despite the coarse resolution of airborne thermal inertia images, it performed better than estimates from the handheld thermal gun. Between-row variation was further analyzed using a linear mixed-effects model. Despite the limited spatial variability of soil properties within a single vineyard, the magnitudes of the model coefficients for soil moisture and mechanical resistance are encouraging indicators of the utility of thermal inertia in vineyard management.
Keywords: remote sensing; thermal inertia; soil moisture content; viticulture; surface temperature
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Cite This Article
MDPI and ACS Style
Soliman, A.; Heck, R.J.; Brenning, A.; Brown, R.; Miller, S. Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data. Remote Sens. 2013, 5, 3729-3748.
Soliman A, Heck RJ, Brenning A, Brown R, Miller S. Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data. Remote Sensing. 2013; 5(8):3729-3748.
Soliman, Aiman; Heck, Richard J.; Brenning, Alexander; Brown, Ralph; Miller, Stephen. 2013. "Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data." Remote Sens. 5, no. 8: 3729-3748.