Evaluating satellite-based depth mapping for large river monitoring: A case study of Peace River, British Columbia, Canada

Authors

  • Aaron Tamminga Department of Geography, University of British Columbia, Vancouver, British Columbia, Canada
  • Brett Eaton Department of Geography, University of British Columbia, Vancouver, British Columbia, Canada; BGC Engineering Inc., Vancouver, British Columbia, Canada
  • Brent Mossop British Columbia Hydro and Power Authority, Vancouver, British Columbia, Canada

DOI:

https://doi.org/10.59236/geomorphica.v2i1.27

Keywords:

Remote Sensing, Bathymetry, River monitoring, Hydromorphology, Aquatic habitat

Abstract

Accurate and reliable methods to measure water depth are essential for informed river research and management. Remote sensing presents a powerful tool for efficient characterization of fluvial systems, but more research is needed into the applicability of bathymetric mapping in a range of conditions and environments. This study assessed the utility of mapping water depth from satellite imagery in a large, seasonally turbid river. Steps included analysis of relationships between image properties and water depth, assessment of the effects of image pre-processing, and comparison of two methods for calibrating image values to depths. It was determined that spectral depth mapping is applicable in the system, with a depth signal described by the ratio of green to red wavelengths. Pre-processing steps including the automated removal of shadows and water surface reflections and the application of a median filter improved the quality of depth calibrations, and calibration methods gave similar results with errors of 25% of reach average depth. The resulting depth maps reliably captured the overall hydromorphic forms and distribution of habitat features, although results were less reliable in deep areas (> 2 m) due to the saturation of the depth signal. Overall, satellite depth mapping can be an appropriate tool for repeat, broad-scale, long-term large river monitoring in general, and could potentially improve flood inundation models based primarily on subareal LiDAR surveys.

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Summary figure showing the main components of the paper: a set of field-measured depth points mapped out over an image of a river from above, a close-up view of a true colour satellite image of the river channel and some image classification showing shadows, reflections, and unobstructed areas derived from the satellite image, and a predicted depth map showing the patterns of water depth throughout a several-kilometre long section of the river. There are some gaps in the coverage of the predicted depths, but the qualitative patterns of the channel form are well captured.

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2025-08-14 — Updated on 2025-08-14

How to Cite

Tamminga, A., Eaton, B., & Mossop, B. (2025). Evaluating satellite-based depth mapping for large river monitoring: A case study of Peace River, British Columbia, Canada. Geomorphica, 2(1). https://doi.org/10.59236/geomorphica.v2i1.27

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Research Article