Using UAV visible images to estimate the soil moisture of steppe

被引：0
|
作者：
Lu F. [1 ,2 ]
Sun Y. [3 ,4 ]
Hou F. [1 ,2 ]
机构：
[1] State Key Laboratory of Grassland Agro-escosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou
[2] Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou
[3] Institute of Fragile Eco-environment, Nantong University, Nantong
[4] School of Geographic Science, Nantong University, Nantong
来源：
Hou, Fujiang (cyhoufj@lzu.edu.cn) | 1600年 / MDPI AG卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Brightness; Grassland; Grazing; Vegetation coverage; Visible image;
D O I：
10.3390/W12092334
中图分类号：
学科分类号：
摘要：
Although unmanned aerial vehicles (UAVs) have been utilized in many aspects of steppe management, they have not been commonly used to monitor the soil moisture of steppes. To explore the technology of detecting soil moisture by UAV in a typical steppe, we conducted a watered test in the Loess Plateau of China, quantitatively revealing the relationship between the surface soil moisture and the visible images captured using an UAV. The results showed that the surface soil moisture was significantly correlated with the brightness of UAV visible images, and the surface soil moisture could be estimated based on the brightness of the visible images of the UAV combined with vegetation coverage. This study addresses the problem of soil moisture measurement in flat regions of arid and semi-arid steppes at the mesoscale, and contributes to the popularization of the use of UAVs in steppe ecological research. © 2020 by the authors.
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