Author(s): Katelyn Kirby; Colin Rennie; Sean Ferguson; Julien Cousineau; Ioan Nistor

Linked Author(s): Katelyn Kirby

Keywords: Cloud 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.

DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2082-cd

Year: 2025