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

机译:利用机载和地面热惯性数据遥感葡萄园土壤水分

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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.
机译:葡萄园中土壤湿度的热遥感是一个挑战。除直立的葡萄冠层外,草覆盖的土壤还会形成复杂的加热和冷却模式,并增加葡萄行之间的表面温度变化。在这项研究中,我们评估了土壤湿度,机械阻力和热惯性之间的关系强度,这些强度是根据尼亚加拉地区葡萄园在晴朗的天空夜晚的表面温度下降计算得出的。我们利用两个传感器的数据,一个机载热像仪(高度≈500 m a.g.l.)和一个手持式热感枪(高度≈1 m a.g.l.),来探索不同视野和行间温度变化高的影响。土壤水分的空间格局与估计的热惯性的关系更多,而与日出或日落时记录的表面温度的关系更大。尽管机载热惯性图像的分辨率较差,但其性能要优于手持式热枪的估计值。行间变化使用线性混合效应模型进一步分析。尽管单个葡萄园内土壤特性的空间变异性有限,但土壤水分和机械阻力的模型系数的大小仍是热惯性在葡萄园管理中的有用指标。

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