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Article
Peer-Review Record

Ecological Environmental Effects and Their Driving Factors of Land Use/Cover Change: The Case Study of Baiyangdian Basin, China

Processes 2022, 10(12), 2648; https://doi.org/10.3390/pr10122648
by Boyu Xia 1,2,* and Linchang Zheng 1,2,*
Reviewer 1:
Processes 2022, 10(12), 2648; https://doi.org/10.3390/pr10122648
Submission received: 5 November 2022 / Revised: 27 November 2022 / Accepted: 6 December 2022 / Published: 8 December 2022
(This article belongs to the Special Issue Sanitary and Environmental Engineering: Relevance and Concerns)

Round 1

Reviewer 1 Report

Find attached my comments to the paper

Comments for author File: Comments.pdf

Author Response

Dear Reviewer:

Thank you very much for your advice on this manuscript. 

Your suggestions on my manuscript are very valuable. In response to all your suggestions, I have made changes to my manuscript in all your suggestions take place.

In addition, I have some questions that I would like to share with you. I have made improvements to the indicator system of my manuscript. There may be a slight correlation between the indicators, but not much. Altitude (X3) is elevation, and the slope (X2) indicates how steep a place is.

Finally, thank you again for your suggestions on my manuscript during your busy schedule.

If you have any other questions about this manuscript, please feel free to share them with me.

Best wishes

 

Your Sincerely

Boyu Xia

Author Response File: Author Response.pdf

Reviewer 2 Report

Remote sensing is a new field of research that enters our lives. The authors made a lot of effort but did not discuss many aspects. I believe they should refer to similar publications such as https://doi.org/10.3390/rs14051281 The article is about a digital elevation model (DEM) is an essential element of input data in the model research of watersheds. The study, gradually and with various methods, carried out a great simplification of a detailed LiDAR-derived DEM. Then, the impact of that treatment on the precision of the selected elements for modeling a watershed was assessed. The simplification comprised a reduction in resolution, with the use of statistical resampling methods, namely giving an average, modal, median, minimum, maximum, or the closest value to the pixels. 

Additionally, there is no in-depth statistical analysis. Statistical analysis was not sufficiently discussed. The entire manuscript looks like an excerpt from a report from some major work. Without statistics and research, the article does not contribute to any knowledge development. An expansion of literature, conclusions, and discussions is required.

Author Response

Dear Reviewer:

Thank you very much for your advice on this manuscript. The research topic of my manuscript is land use and eco-environment, not remote sensing.

However, I think this study is informative in terms of basin extraction, so I have added this article to my list of references.

In addition, I have enriched the research system and conclusions of my manuscript, as you suggested.

Finally, thank you again for your suggestions on my manuscript during your busy schedule.

If you have any other questions about this manuscript, please feel free to share them with me.

Best wishes

 

Your Sincerely

Boyu Xia

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The article was well-prepared by the comments. I recommend this document to publish.

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