Articles | Volume 30, issue 7
https://doi.org/10.5194/hess-30-2183-2026
https://doi.org/10.5194/hess-30-2183-2026
Research article
 | 
17 Apr 2026
Research article |  | 17 Apr 2026

Community-scale urban flood monitoring through fusion of time-lapse imagery, terrestrial lidar, and remote sensing data

Jedidiah E. Dale, Sophie Dorosin, José A. Constantine, and Claire C. Masteller

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Short summary
Frequent, low-intensity urban pluvial flooding is notoriously difficult to detect and monitor. This study introduces a novel, low-cost approach using computer vision to integrate time-lapse photos with lidar data to estimate water levels and flood extents. Applied to two case study flood events and validated against a two-dimensional flood model, this method shows how community-centered, adaptable monitoring systems can capture spatiotemporal flood dynamics often missed by traditional methods.
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