Low Cost and Compact FMCW 24 GHz Radar Applications for Snowpack and Ice Thickness Measurements

积雪 遥感 雷达 环境科学 激光雷达 冻土带 持续监测 融水 北极的 地质学 气象学 工程类 地貌学 电信 地理 海洋学 运营管理
作者
Patrick Pomerleau,Alain Royer,Alexandre Langlois,P. Cliche,Bruno Courtemanche,Jean‐Benoît Madore,Ghislain Picard,E. Lefèbvre
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:20 (14): 3909-3909 被引量:28
标识
DOI:10.3390/s20143909
摘要

Monitoring the evolution of snow on the ground and lake ice—two of the most important components of the changing northern environment—is essential. In this paper, we describe a lightweight, compact and autonomous 24 GHz frequency-modulated continuous-wave (FMCW) radar system for freshwater ice thickness and snow mass (snow water equivalent, SWE) measurements. Although FMCW radars have a long-established history, the novelty of this research lies in that we take advantage the availability of a new generation of low cost and low power requirement units that facilitates the monitoring of snow and ice at remote locations. Test performance (accuracy and limitations) is presented for five different applications, all using an automatic operating mode with improved signal processing: (1) In situ lake ice thickness measurements giving 2 cm accuracy up to ≈1 m ice thickness and a radar resolution of 4 cm; (2) remotely piloted aircraft-based lake ice thickness from low-altitude flight at 5 m; (3) in situ dry SWE measurements based on known snow depth, giving 13% accuracy (RMSE 20%) over boreal forest, subarctic taiga and Arctic tundra, with a measurement capability of up to 3 m in snowpack thickness; (4) continuous monitoring of surface snow density under particular Antarctic conditions; (5) continuous SWE monitoring through the winter with a synchronized and collocated snow depth sensor (ultrasonic or LiDAR sensor), giving 13.5% bias and 25 mm root mean square difference (RMSD) (10%) for dry snow. The need for detection processing for wet snow, which strongly absorbs radar signals, is discussed. An appendix provides 24 GHz simulated effective refractive index and penetration depth as a function of a wide range of density, temperature and wetness for ice and snow.
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