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A high-resolution national database of river widths from remote sensing and cloud-based image processing

DOIResolve DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2082-cd
AuthorSearch for: 1ORCID identifier: https://orcid.org/0000-0001-9763-9617; Search for: 1ORCID identifier: https://orcid.org/0000-0003-0683-1932; Search for: 1ORCID identifier: https://orcid.org/0000-0001-8007-9211; Search for: 1ORCID identifier: https://orcid.org/0000-0002-0883-6836; Search for: 1ORCID identifier: https://orcid.org/0000-0001-8436-4781
Affiliation
  1. National Research Council Canada. Ocean, Coastal and River Engineering
FormatText, Article
Conference41st IAHR World Congress, June 22-27, 2025, Singapore EXPO, Singapore
Subjectcloud image processing; Google Earth engine; remote sensing; river width; channel dimensions
Abstract
This study presents the development of a high-resolution national database of river widths in Canada utilizing advanced remote sensing techniques and cloud-based image processing. By integrating Sentinel-2 multispectral satellite imagery, cloud processing, and automated GIS methods, we systematically measured river widths across 9,500,000 km² of diverse Canadian landscapes, offering unprecedented spatial and temporal detail. Using this methodology, a large-scale, accurate database of river widths can be developed for any geographic location for rivers above 20 m in width, with multiple measurements across seasons.
Publication date
PublisherInternational Association for Hydro-Environment Engineering and Research
Access condition
  • Free for IAHR members
In
  • 41st IAHR World Congress "Innovative Water Engineering for Sustainable Development" (2025): 1991–1997.
Series
LanguageEnglish
Peer reviewedYes
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Record identifierfea8c254-32df-4b1e-aade-a20e471c57cb
Record created2026-01-07
Record modified2026-01-22

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