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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-4675', Maarten Kleinhans, 05 Nov 2025
    • AC1: 'Reply on RC1', Yuexia ZHOU, 10 Nov 2025
  • RC2: 'Comment on egusphere-2025-4675', Anonymous Referee #2, 10 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Yuexia ZHOU on behalf of the Authors (30 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Jan 2026) by Orencio Duran Vinent
ED: Publish as is (30 Jan 2026) by Orencio Duran Vinent
ED: Publish as is (16 Feb 2026) by Tom Coulthard (Editor)
AR by Yuexia ZHOU on behalf of the Authors (26 Feb 2026)  Manuscript 

Post-review adjustments

AA – Author's adjustment | EA – Editor approval
AA by Yuexia ZHOU on behalf of the Authors (16 Mar 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (16 Mar 2026) by Orencio Duran Vinent
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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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