Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data

Remote Sensing

Aiman Soliman¹  Richard J. Heck⁴  Alexander Brenning²  Ralph Brown³ 

[1] CUNY Environmental Crossroads Initiative, The City College of New York, New York, NY 10031, USA;Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2G3G1, Canada; E-Mail:;School of Engineering, University of Guelph, Guelph, ON N1G2W1, Canada; E-Mail:;Ontario Agriculture College, University of Guelph, Guelph, Ontario N1G2W1, Canada; E-Mails:

关键词: remote sensing;    thermal inertia;    soil moisture content;    viticulture;    surface temperature;   

DOI  :  10.3390/rs5083729

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland