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Article
Peer-Review Record

Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified Sampling Method

Remote Sens. 2023, 15(18), 4593; https://doi.org/10.3390/rs15184593
by Yali Gong 1,2, Huan Xie 1,2,3,*, Shicheng Liao 1,2, Yao Lu 1,2, Yanmin Jin 1,2, Chao Wei 1,2 and Xiaohua Tong 1,2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2023, 15(18), 4593; https://doi.org/10.3390/rs15184593
Submission received: 11 August 2023 / Revised: 15 September 2023 / Accepted: 15 September 2023 / Published: 18 September 2023

Round 1

Reviewer 1 Report

This paper proposes a spatial–temporal stratified sampling method for stratifying the multi-temporal and multi-class Globeland30 products in China. The paper is well-designed and written, and represents a good case study. My major concern is related to the figure quality. The figures are very vague and the sub-figures of the nine-dash line are not complete.

Minor editing of English language required

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

The comments are in the attached file. 

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

Please see the attachment.

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

Dear Authors,

Thank you for your response to my opinion and the related revisions. I have reviewed them, and finally, it would be beneficial to move the 'main contribution' mentioned in lines 124-131 to the conclusion and present it together with the conclusion. Please make this revision.

Best regards,

Author Response

Please see the attachment. 

Author Response File: Author Response.docx

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