Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-161-2024
https://doi.org/10.5194/essd-16-161-2024
Data description paper
 | 
10 Jan 2024
Data description paper |  | 10 Jan 2024

A coarse pixel-scale ground “truth” dataset based on global in situ site measurements to support validation and bias correction of satellite surface albedo products

Fei Pan, Xiaodan Wu, Qicheng Zeng, Rongqi Tang, Jingping Wang, Xingwen Lin, Dongqin You, Jianguang Wen, and Qing Xiao

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Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Fei Pan on behalf of the Authors (25 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Sep 2023) by Jing Wei
RR by Anonymous Referee #2 (23 Oct 2023)
RR by Anonymous Referee #3 (29 Oct 2023)
RR by Anonymous Referee #1 (30 Oct 2023)
ED: Publish subject to minor revisions (review by editor) (30 Oct 2023) by Jing Wei
AR by Fei Pan on behalf of the Authors (06 Nov 2023)  Author's response   Author's tracked changes 
EF by Sarah Buchmann (08 Nov 2023)  Manuscript 
ED: Publish as is (08 Nov 2023) by Jing Wei
AR by Fei Pan on behalf of the Authors (10 Nov 2023)  Manuscript 
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Short summary
To effectively tackle the challenges posed by spatial-scale differences and spatial heterogeneity, this paper presents a distinctive coarse pixel-scale ground “truth" dataset by upscaling sparsely distributed in situ measurements. This dataset is a valuable resource for validating and correcting global surface albedo products, enhancing reference data accuracy by 6.04 %. Remarkably, it substantially enhances 17.09 % in regions with strong spatial heterogeneity.
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