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Article
Peer-Review Record

Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine

Agronomy 2023, 13(2), 355; https://doi.org/10.3390/agronomy13020355
by Jiaqi Cui 1,2, Yulong Guo 1,2, Qiang Xu 1,2, Donghao Li 1,2, Weiqiang Chen 1,2, Lingfei Shi 1,2, Guangxing Ji 1,2 and Ling Li 1,2,*
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Agronomy 2023, 13(2), 355; https://doi.org/10.3390/agronomy13020355
Submission received: 28 December 2022 / Revised: 19 January 2023 / Accepted: 23 January 2023 / Published: 26 January 2023
(This article belongs to the Special Issue Cultivated Land Sustainability in the Anthropocene)

Round 1

Reviewer 1 Report

     The manuscript is well written and easy to read with only a few points where the authors can improve how the concepts are presented. The introduction is well written and describes the context and issues that inspired the study presented here, but in this section, few studies are mentioned during the literature review and there is no explanation about the details and results of previous studies. Therefore, it is not possible to reach a conclusion about innovation and the need for further studies. Also, the write-up has many language issues and needs further tidying up. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors present methodology for extraction of information on the flooding extent of agricultural lands in China using remote sensing data and Google Earth Engine. The methodology is described thoroughly and in detail.

However, in my view, a good paper should contain a comparative analysis and some kind of justification of the introduced methods, so that my suggestions for this work are as follows:
1. The authors state that "Many flood extraction studies have been carried out by previous researchers using remote sensing technology..." It would be nice to describe how the introsuced methodology differs from those carried out before? What steps introduced by the authors made ir possible to attain better results?

2. In discussion, it would be nice to get authors' opinion on how the introduced methodology could work for the other regions regarding geographical location, type of land, etc.? In what cases we can expect good detection precision results, and where there can be problems with detecting flooded areas?

3. At least a remark on how easy it would be to implement (and what steps it will require) this methodology on governmental level for gaining practical profit such as reducing crop losses from floods?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Please see the file.

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

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