利用无人机探地雷达联合测量土壤介电常数和电导率

IF 5 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Qinbo Cheng, Yu Cheng, Zhijin Ma, Andrew Binley, Jintao Liu, Zhicai Zhang, Feng Huang, Xi Chen
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引用次数: 0

摘要

土壤含水量和盐度的测量对于广泛的主题,特别是与土壤和植物健康有关的主题以及农业管理的具体方面都很重要。然而,大多数传统方法不适合同时绘制土壤电性的场尺度变异性。在这项研究中,我们提出了一种利用无人机(UAV)支持不同频率的探地雷达(GPR)天线的方法,允许对表面反射系数进行空间扫描,然后使用该系数来估计土壤的相对介电常数(εr)和电导率(σ)。然后使用这些参数利用经验传递函数来估计土壤含水量和盐度。与其他已发表的方法不同,该方法相对简单,不依赖于全波形反演。在长江沿岸和黄海沿岸盐碱地进行了现场试验,验证了该方法的有效性。调查表明,无人机-探地雷达给出的结果与土壤电性能仪在现场测量的结果相当。蒙特卡罗模拟精度分析结果表明,εr的测量误差随σ的增大而增大,除高εr和低σ区域外,σ测量值的相对误差一般小于εr。该研究提供了一种利用无人机技术绘制土壤电特性的方法,从而开辟了在高空间分辨率下遥感这些重要特性的空间变异性的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined Measurement of Soil Permittivity and Electrical Conductivity Using UAV‐Based Ground Penetrating Radar
Measurements of soil water content and salinity are important for a wide range of topics, in particular those concerned with soil and plant health, and specific aspects of agricultural management. However, most traditional methods are unsuitable for simultaneously mapping the field scale variability of soil electrical properties. In this study, we propose a method that uses an unmanned aerial vehicle (UAV) to support ground penetrating radar (GPR) antennae with different frequencies, allowing spatial scanning of surface reflection coefficients, which is then used to estimate the soil relative permittivity (εr) and electrical conductivity (σ). These parameters are then used to estimate soil water content and salinity using empirical transfer functions. Unlike other published approaches, the proposed method is relatively simple and does not rely on full‐waveform inversion. Field tests in the riparian zone of the Yangtze River and salinized land close to the Yellow Sea are used to demonstrate the effectiveness of the method. The surveys illustrate that the UAV‐GPR give results comparable to those measured in situ with a soil electrical property meter. These findings are supported by accuracy analysis using Monte Carlo simulation which reveal that the measurement error of εr increases with σ, and the relative errors in σ measurements are generally less than those of εr except in areas of high εr and low σ. The study provides an approach for mapping soil electrical properties using UAV technology, thus opening up the possibility of remote sensing of spatial variability of these important properties at high spatial resolution.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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