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Multispectral Optical Remote Sensing for Water-Leak Detection.

Jean-Claude Krapez1, Javier Sanchis Muñoz2, Christophe Mazel3

  • 1ONERA-The French Aerospace Lab, 13300 Salon de Provence, France.

Sensors (Basel, Switzerland)
|February 15, 2022
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Summary
This summary is machine-generated.

This study developed an airborne surveillance service (WADI) to detect water leaks in distribution mains. The system successfully identified leaks using hyperspectral and thermal imaging, improving resource management.

Keywords:
Trapezoid MethodTriangle Methodevaporationinfraredremote sensingsoil moisturethermalwater leak

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Water Resource Management

Background:

  • Water distribution losses significantly deplete natural resources, including water, energy, and ecosystems.
  • Timely detection of leaks in water transportation mains outside urban areas is crucial for utilities.

Purpose of the Study:

  • To develop an optical airborne surveillance service, WADI (Water-tightness Airborne Detection Implementation), for detecting water leaks.
  • To identify optimal wavelengths and sensor combinations for detecting high moisture areas indicative of leaks.

Main Methods:

  • Utilized hyperspectral and thermal infrared cameras during measurement campaigns.
  • Selected optimal wavelengths and employed the Temperature-Vegetation-Index (T-VI) method for leak detection.
  • Conducted operational campaigns using manned (MAV) and unmanned (UAV) aerial platforms over French and Portuguese water networks.

Main Results:

  • Successfully detected artificial leaks under favorable conditions (no recent rain, low vegetation cover).
  • Detected known and unknown real leaks in a Portuguese water network with advanced equipment.
  • Observed false alarms due to natural water flows and vegetation variability, necessitating further refinement.

Conclusions:

  • The WADI system demonstrates potential for detecting water leaks in distribution mains.
  • Integration with ancillary data (topography) and closer utility collaboration can reduce false alarms.
  • Further development is needed to enhance the performance and reliability of the WADI methodology.