Articles | Volume 14, issue 2
https://doi.org/10.5194/esurf-14-233-2026
https://doi.org/10.5194/esurf-14-233-2026
Research article
 | 
20 Mar 2026
Research article |  | 20 Mar 2026

Spatiotemporal dynamics of Sentinel-2 NDVI as indicators of bio-hydromorphological interactions: implications for river management

Yuexia Zhou, Yuji Toda, and Runye Zhu

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Short summary
We analyzed ten years of satellite images of the Chikuma River in Japan to track how riparian vegetation respond to floods and relative elevation. Greenness dropped most at low elevations after floods, while higher areas stayed relatively stable. Growth followed a clear late-summer peak. These findings show when and where vegetation control can best improve flow capacity and reduce flood risk, supporting practical river management.
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