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A method for estimating the spatial distribution of soil moisture of arid microenvironments by close range thermal infrared imaging

机译:近距离热红外成像估算干旱微环境土壤水分空间分布的方法

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摘要

The topsoil moisture content, its spatial distribution and dynamics, are important variables in understanding the response of arid eco-geomorphic hill slope systems to rainfall. This study presents a method of measuring the soil moisture within a shrub's microenvironment by employing thermal infrared (TIR) imaging. A model for converting soil moisture (SMCM) is based on multi-temporal TIR images. The method incorporates data from in situ measurements of soil temperature, moisture content and local meteorological variables collected simultaneously with TIR imaging. The results obtained, together with the high spatial resolution of the TIR images, demonstrated the efficacy of this method for mapping soil moisture on micro-scale and also the potential for spatial analysis and change detection over time.
机译:表土的水分含量,其空间分布和动力学是了解干旱生态地貌山坡系统对降雨响应的重要变量。这项研究提出了一种利用热红外(TIR)成像技术测量灌木微环境中土壤湿度的方法。基于多时间TIR图像的土壤水分转化模型(SMCM)。该方法结合了与TIR成像同时收集的土壤温度,水分含量和局部气象变量的原位测量数据。所获得的结果以及TIR图像的高空间分辨率,证明了该方法在微观尺度上绘制土壤水分的有效性,并且具有随时间推移进行空间分析和变化检测的潜力。

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