Cost-Effective Radar Sensors for Field-Based Water Level Monitoring with Sub-Centimeter Accuracy

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Authors: Anna Zavei-Boroda, Justin Toby Minear, Kyle Harlow, Dusty Woods, Christoffer Heckman
Cited by: 0

Abstract

Water level monitoring is critical for flood management, water resource allocation, and ecological assessment, yet traditional methods remain costly and limited in coverage. This work explores radar-based sensing as a low-cost alternative for water level estimation, leveraging its non-contact nature and robustness to environmental conditions. Commercial radar sensors are evaluated in real-world field tests, applying statistical filtering techniques to improve accuracy. Results show that a single radar sensor can achieve centimeter-scale precision with minimal calibration, making it a practical solution for autonomous water monitoring using drones and robotic platforms.

Fields of Study & Subjects

Flood Risk Assessment and Management Soil Moisture and Remote Sensing Water Quality Monitoring Technologies

Publication details

Journal / source
arXiv (Cornell University)
Publication date
6 January 2026
Document type
Preprint