Mapping subsurface tile drainage systems with thermal images
Mapping subsurface tile drainage systems with thermal images
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DOI：
10.1016/j.agwat.2019.01.031
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发表时间：
2019-06
影响因子：
6.7
通讯作者：
D. Woo;Homin Song;Praveen Kumar
中科院分区：
文献类型：
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作者：
D. Woo;Homin Song;Praveen Kumar
在中西部农业领域，地下瓦片排水已被广泛使用，通过安装在地面下的穿孔管来清除土壤中的多余水分。虽然它在潮湿但多产地区的农业活动中发挥了重要作用，但该系统是影响该地区水和养分动态以及水质的主要驱动因素。然而，尽管地下瓦片排水结构发挥了关键作用，但由于土壤表面特征，如地形凹陷和耕作，常规光学图像处理通常无法获得或很好地捕捉到它的具体位置。为了克服这些挑战，在这项研究中，我们探索了使用热像来识别地下排水管道位置的可能性。该假设认为，瓦片排水沟所建立的独特的土壤水分空间分布可以导致排水管附近和远离排水管区域的地表土壤温度的差异。为此，我们设计并研制了基于1：20无因次分析的实验装置，并在露天部署了4.5个月。实验结果表明：(1)有一个理想的时间来获取热像，使靠近和远离地下排水系统的区域之间的对比度达到最大；(2)本文提出的热像处理方法是一种有前途的工具，与基于光学图像的方法相比，该方法具有更高的精度和稳定性。
In Midwestern agricultural fields, subsurface tile drainage has been widely used to remove excess water from the soil through perforated tubes installed beneath the ground surface. While it plays an important role in enabling agricultural activities in wet but productive areas, this system is a major driving factor affecting water and nutrient dynamics, and water quality in this region. However, despite its critical role, the specific locations of subsurface tile drainage structures are not generally available nor well captured by conventional optical image processing due to soil surface features, such as topographic depressions and tillage. To overcome these challenges, in this study, we have explored the potential of using thermal images to identify the location of a subsurface drainage pipe. The hypothesis is that the unique spatial distribution of soil moisture set up by tile drains can result in the difference in surface soil temperature between areas near and away from drainage pipes. Toward this objective, we designed and developed an experimental device based on a dimensionless analysis at a scale of 1:20, which was deployed in the open air for 4.5 months. The experimental results demonstrate that (1) there is an ideal time for thermal image acquisition that maximizes the contrast between the regions close to and distant from subsurface drainage systems, and (2) the thermal image processing approach proposed in this study is a promising tool that has advantages of higher accuracy and stability in localizing subsurface drainage pipes over optical image-based approaches