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Peer-Review Record

Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity

Remote Sens. 2022, 14(8), 1952; https://doi.org/10.3390/rs14081952
by Jingtao Liang 1, Jihong Dong 1,2, Su Zhang 1, Cong Zhao 1,*, Bin Liu 1, Lei Yang 1, Shengwu Yan 1 and Xiaobo Ma 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2022, 14(8), 1952; https://doi.org/10.3390/rs14081952
Submission received: 31 March 2022 / Revised: 13 April 2022 / Accepted: 15 April 2022 / Published: 18 April 2022

Round 1

Reviewer 1 Report

The authors largely improved the manuscript by considering the previous comments. I thank them for the work they did.

The manuscript can be improved again with some minors complements and corrections. I suggest them the attached annotated file . The english can probable be improved because I am not English native.

Regards

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

I would recommend to the authors to rewrite the discussion part, in order to assess the results by comparing to other similar papers (many of this part are in fact results), and to try to demonstrate the power of replicability of the method used.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

The modified draft has greatly improved by the authors. They did a good job.


The paper can be accepted after they complete the following minor modification:

(1) Line 144, “Ya'an City is higher than that in Ganzi Prefecture” and in
Fig. 1, “Ganzi”, the two Ganzi should be changed to Garzê.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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