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Article
Peer-Review Record

Elastic and Inelastic Ground Deformation in Shanghai Lingang Area Revealed by Sentinel-1, Leveling, and Groundwater Level Data

Remote Sens. 2022, 14(11), 2693; https://doi.org/10.3390/rs14112693
by Yanling Chen 1,*, Minyan Liao 2, Jicang Wu 3, Xiaobo Li 1,4, Fuwen Xiong 5, Shijie Liu 3, Yongjiu Feng 3 and Xiaoya Wang 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Remote Sens. 2022, 14(11), 2693; https://doi.org/10.3390/rs14112693
Submission received: 19 April 2022 / Revised: 28 May 2022 / Accepted: 30 May 2022 / Published: 3 June 2022

Round 1

Reviewer 1 Report

General Comments

The author used the PSInSAR technique to derive the spatial-temporal pattern of ground subsidence in the Shanghai Lingang New City.  The accuracy of the result was verified by leveling data. By jointly analyzing the PSInSAR measurements and groundwater level data, this study provides interesting insights into the deformation mechanism in the study area.  The manuscript is well-written and structured and can be accepted after minor revisions. The authors can improve their manuscript by making the specific changes outlined below.

Specific Comments

Line 32-69: The format of this paragraph is not consistent with the rest parts of the manuscript.

Line 32-76: The author introduced the background and experimental contents of the study in this part, but the purpose and significance of this study are not clarified. I suggest the authors add some words to highlight the difference between this study and the previous ones.

Line 105: Change ‘are the fifth aquifer’ to ‘and the fifth aquifer’.

Line 167: Change ‘Aquifer parameters estimatio to ‘Aquifer parameters estimation’

Line 209/222/227: The Figures (2,3,4) are numbered incorrectly, please check.

 Line 238: It is well known that InSAR measures ground deformation along the LOS direction, while leveling derives the vertical deformation. Please clarify whether any geometry transformation of these two datasets was conducted before the comparison?

Line 256-259: The density of coherent points is sparse in this area. Please clarify how the author matches the deformation results with the groundwater level data.

 

 

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

The subject is really interesting and important. Yet,  besides the results, the author didn't present any novelty or scientific explanation of the it. There are so many works in the field of PSInSAR, what is your contribute to it?

The results you received, what is the meaning of it? What can we do with it? You have to base your results on scientific literature. 

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

This article should be intensified in its quality. You need to enter a table and list the SAR data you used, entering all the characteristics (including id-numbers). So you can repeat the experiment.

In this context you have to insert a figure representing the multi-baseline SAR acquisition geometry.
You need to insert the graph regarding the baseline-time strategy you used.
You need to explain more about the spatio-temporal strategy you used to compensate for the phase delay of the atmosphere.

 

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The corrections have indeed significantly improved the article. Yet, I have not seen in the discussion a sufficient volume - which discusses the results of previous works in comparison with the results of this study.

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

Accepted

Author Response

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Author Response File: Author Response.docx

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