Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2373-2021
https://doi.org/10.5194/hess-25-2373-2021
Research article
 | 
06 May 2021
Research article |  | 06 May 2021

A simple cloud-filling approach for remote sensing water cover assessments

Connor Mullen, Gopal Penny, and Marc F. Müller

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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: Reconsider after major revisions (further review by editor and referees) (17 Nov 2020) by Christa Kelleher
AR by Connor Mullen on behalf of the Authors (13 Jan 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Jan 2021) by Christa Kelleher
RR by Anonymous Referee #3 (24 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (24 Feb 2021) by Christa Kelleher
AR by Connor Mullen on behalf of the Authors (26 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Mar 2021) by Christa Kelleher
AR by Connor Mullen on behalf of the Authors (14 Mar 2021)  Manuscript 
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Short summary
The level of lake water is rapidly changing globally, and long-term, consistent observations of lake water extents are essential for ascertaining and attributing these changes. These data are rarely collected and challenging to obtain from satellite imagery. The proposed method addresses these challenges without any local data, and it was successfully validated against lakes with and without ground data. The algorithm is a valuable tool for the reliable historical water extent of changing lakes.