Articles | Volume 18, issue 2
https://doi.org/10.5194/essd-18-903-2026
https://doi.org/10.5194/essd-18-903-2026
Data description paper
 | 
04 Feb 2026
Data description paper |  | 04 Feb 2026

A lake salinity dataset produced via microwave and optical imageries

Mingming Deng, Ronghua Ma, Lixin Wang, Minqi Hu, Kun Xue, and Junfeng Xiong

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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 essd-2025-671', Anonymous Referee #1, 24 Nov 2025
    • AC1: 'Reply on RC1', mingming deng, 11 Dec 2025
  • RC2: 'Comment on essd-2025-671', Anonymous Referee #2, 04 Dec 2025
    • AC2: 'Reply on RC2', mingming deng, 11 Dec 2025
  • RC3: 'Comment on essd-2025-671', Valerija Butorac, 12 Jan 2026
    • AC3: 'Reply on RC3', mingming deng, 12 Jan 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by mingming deng on behalf of the Authors (26 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (27 Jan 2026) by Dalei Hao
AR by mingming deng on behalf of the Authors (28 Jan 2026)  Author's response   Manuscript 
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Short summary
Lake salinity is an important parameter to characterize physical and biogeochemical processes. We proposed a microwave-optical integrated framework for high-precision salinity estimation, producing a 10 m resolution Inner Mongolia Xinjiang Lake zone lake salinity dataset (2016–2024). Salinity increased significantly in Lake Daihai and Lake Dalinor. The dataset can contribute to research on salinization prevention and salinity budget research.
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