Technical Note: Open-Source Software for Water-Level Measurement in Images With a Calibration Target

Kenneth W. Chapman, Troy E. Gilmore, Christian D. Chapman, François Birgand, Aaron R. Mittlestet, Mary J. Harner, Mehrube Mehrubeoglu, John E. Stranzl

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Image-based water level measurements offer data quality assurance through visual verification that no other method can provide. GaugeCam Remote Image Manager-Educational 2 (GRIME2) is a mature, open-source commercial friendly software application that automatically detects and measures water level in laboratory and field settings. The software relies on a dedicated target background for water line detection and image calibration. The system detects the change in pixel gray scale values associated with the intersection of the water level at the target surface. Fiducials on the target background are used to precisely create a pixel to real world coordinate transfer matrix and to correct for camera movement. The presented software package implements the algorithms and automates the water level measurement process, annotation of images with result overlays, creation of animations, and output of results to files that can be further analyzed in a spreadsheet or with R or Python. These GRIME2 features are illustrated using imagery from a coastal marsh field site. Tradeoffs between workflow and algorithm complexity and ease of use are discussed and future improvements are identified with the intention that this Findable, Accessible, Interoperable, and Reusable-inspired software can be adopted, modified and improved by the user community. While image resolution, quality and other factors associated with field deployment (e.g., water surface roughness, sun glare, shadows, and bio-fouling) will have an impact on measurement quality, previous controlled laboratory testing that did not manifest these issues showed potential for accuracy of ±3 mm (Gilmore et al., 2013, https://doi.org/10.1016/j.jhydrol.2013.05.011).

Original languageEnglish (US)
Article numbere2022WR033203
JournalWater Resources Research
Volume58
Issue number8
DOIs
StatePublished - Aug 2022

Keywords

  • hydrology
  • image processing
  • open source software
  • pixel to world calibration
  • stage measurement
  • waterline detection

ASJC Scopus subject areas

  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Technical Note: Open-Source Software for Water-Level Measurement in Images With a Calibration Target'. Together they form a unique fingerprint.

Cite this