Field trials to detect drainage pipe networks using thermal and RGB data from unmanned aircraft
Field trials to detect drainage pipe networks using thermal and RGB data from unmanned aircraft
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使用无人机的热数据和 RGB 数据检测排水管网的现场试验
DOI：
10.1016/j.agwat.2019.105895
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发表时间：
2020
影响因子：
6.7
通讯作者：
Tyler, S.
中科院分区：
文献类型：
--
作者：
Kratt, C.B.;Woo, D.K.;Johnson, K.N.;Haagsma, M.;Kumar, P.;Selker, J.;Tyler, S.
排水管的使用早在公元前200年就有了记载，并且在世界各地排水不良的农业地区继续使用。虽然对作物生产有利，但这种改造对生态水文的影响已被证明对自然排水网络产生不利影响。确定排水管网的确切位置对于开发地下水和地表水模型至关重要。几十年前安装的排水管网的几何形状经常随着时间的推移而丢失，或者从一开始就没有得到很好的记录。以前的工作已经认识到，由于土壤反照率的变化，在可见光谱（RGB）遥感数据中可以观察到某些土壤类型的排水管道。在这项工作中，使用小型无人机系统（sUAS）收集高分辨率RGB和热数据来绘制地下排水管图。在一次小降雨（< 1.3 cm）发生后不到96 h内，在伊利诺伊州IML-CZO的两个不同位置获得了总计约60 ha的sUAS热和RGB数据。热成像显示与排水管相关的热对比证据有限。如果数据是在降雨事件后立即获得的，则由于排水管网附近的土壤湿度较低，因此更有可能检测到温度对比。然而，RGB数据在一个地点完全显示了排水管，在另一个地点显示了排水管的痕迹。这些结果说明了sUAS数据收集时间对降水事件的重要性。正在进行的相关工作侧重于实验室和数值实验，以更好地量化反照率、土壤湿度和传热之间的反馈，这将有助于预测排水管测绘等应用数据收集的最佳时机。
The use of drainage pipe is documented as far back as 200 B. C. and continues to be used in poorly drained agricultural regions throughout the world. While good for crop production, the eco-hydrologic impacts of this modification have been shown to adversely affect natural drainage networks. Identifying the exact location of drainage pipe networks is essential to developing groundwater and surface water models. The geometry of drainage pipe networks installed decades ago has often been lost with time or was never well documented in the first place. Previous work has recognized that drainage pipes can be observed for certain soil types in visible spectrum (RGB) remote sensing data due to changes in soil albedo. In this work, small Unmanned Aerial Systems (sUAS) were used to collect high resolution RGB and thermal data to map subsurface drainage pipe. Within less than 96 h of a small (< 1.3 cm) rain event, a total of approximately 60 ha of sUAS thermal and RGB data were acquired at two different locations in the IML-CZO in Illinois. The thermal imagery showed limited evidence of thermal contrast related to the drainage pipe. If the data were acquired immediately after a rain event it is more likely a temperature contrast would have been detected due to lower soil moisture proximal to the drainage pipe network. The RGB data, however, elucidated the drainage pipe entirely at one site and elucidated traces of the drainage pipe at the other site. These results illustrate the importance of the timing of sUAS data collection with respect to the precipitation event. Ongoing related work focusing on laboratory and numerical experiments to better quantify feedbacks between albedo, soil moisture, and heat transfer will help predict the optimal timing of data collection for applications such as drainage pipe mapping.
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影响因子：
2.4
作者：
K. Schilling;C. Wolter;T. Isenhart;R. Schultz
通讯作者：
K. Schilling;C. Wolter;T. Isenhart;R. Schultz
DOI：
--
发表时间：
2004
期刊：
影响因子：
--
作者：
B. Allred;N. Fausey;L. Peters;Chi;J. Daniels;H. Youn
通讯作者：
H. Youn
影响因子：
6.7
作者：
Allred, Barry;Eash, Neal;Wishart, DeBonne
通讯作者：
Wishart, DeBonne
地下瓦排水对土壤中无机氮年龄-浓度动态的影响
影响因子：
5.4
作者：
D. Woo;Praveen Kumar
通讯作者：
Praveen Kumar
影响因子：
5.2
作者：
Billen, Magali I.
通讯作者：
Billen, Magali I.