Automatic-Detection Method for Mining Subsidence Basins Based on InSAR and CNN-AFSA-SVM
Round 1
Reviewer 1 Report
Dear Authors,
I have received the paper title “Automatic Detection Method of Mining subsidence basin based on 2 InSAR and CNN-AFSA-SVM” for review.
I have made the following observation.
1. The quality of overall representation is very poor, the content has very limited information. It adds no value to future reader.
2. The detailed information of the InSAR is totally missing, it appears authors have forgot the mentioned it at all.
3. There is very limited information about the objective, data, method are given in the introduction section.
4. how method come as number one data has no mention on SAR data, as title says the paper is based on the data, it has no mention of the data.
5. Discussion section is very limited, it provides no details.
6. I think this work need lot more improvement, in the current form it just look-like complied and submitted.
7. This paper need improvement in every section of the paper and shall me written again.
Thanks
Author Response
Please see attachment
Author Response File: 
Author Response.pdf
Reviewer 2 Report
In this manuscript, Automatic Detection Method of Mining subsidence basin based on InSAR and CNN-AFSA-SVM has been studied. After reviewing it, I can say, before it candidate for publication in Sustainability journal, the following points must be revised:
1) The corresponding author must write his/her formal email.
2) The word “disaster’ has been repeated frequently in the text! Hence, based on the grammatical structures, it must be reviewed.
3) In the abstract, line 16, ‘study, we used deep learning…..’, in the technical writing, all the text must be written based on the passive verbs. So, this part isn’t good. The text can be edited as “In this study, deep learning and … have been applied or used’’. This subject also repeated in the page 8, line 165.
4) The author can find more information about surface settlement via paper below:
o Forecasting maximum surface settlement caused by urban tunneling. https://doi.org/10.1016/j.autcon.2020.103375
o Study on the Rapid Drawdown and Its Effect on Portal Subsidence of Heybat Sultan Twin Tunnels in Kurdistan-Iraq. 10.28991/cej-2017-00000108
5) The geological and geotechnical properties of studied area shall be presented in the text.
6) All variable parameters must be described in the first page.
7) The quality of figures is low. Hence, they must be improved.
8) The manuscript must be checked by a native English speaker regarding grammatical and other language techniques.
Author Response
Please see the attachment
Author Response File: Author Response.pdf
Reviewer 3 Report
The topic discussed on this paper is interesting but it lacks certain details especially regarding the discussion of the results.
Here are my comments
- The article needs to be made accordingly to the journal template,
- How the authors prepared their training and validation ground truth, The methodology should be made in a more concise manner (data gathering, data prepressing, software used ..etc.)
- I cannot see a discussion section on this paper.
- A clear conclusion should be stated.
Author Response
Please see the attachment
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The clarification provided does not explain the questions asked.
Reviewer 2 Report
All my comments have been considered in revised paper henceÙ« it is acceptable.
Reviewer 3 Report
All my comments have been addressed in ths version except this comment :
- The article needs to be made accordingly to sustainability journal template.
