Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4349-2018
https://doi.org/10.5194/hess-22-4349-2018
Research article
 | 
20 Aug 2018
Research article |  | 20 Aug 2018

Surface water monitoring in small water bodies: potential and limits of multi-sensor Landsat time series

Andrew Ogilvie, Gilles Belaud, Sylvain Massuel, Mark Mulligan, Patrick Le Goulven, and Roger Calvez

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (18 Apr 2018) by Anas Ghadouani
AR by Andrew Ogilvie on behalf of the Authors (30 May 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (22 Jun 2018) by Anas Ghadouani
RR by Manuela Grippa (20 Jul 2018)
ED: Publish as is (21 Jul 2018) by Anas Ghadouani
AR by Andrew Ogilvie on behalf of the Authors (30 Jul 2018)  Manuscript 
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Short summary
Accurate monitoring of surface water extent is essential for hydrological investigation of small lakes (1–10 ha), which supports millions of smallholder farmers. Landsat monitoring of long-term surface water dynamics is shown to be suited to lakes over 3 ha based on extensive hydrometric data from seven field sites over 15 years. MNDWI water classification optimized here for the specificities of small water bodies reduced mean surface area errors by 57 % compared to published global datasets.