Statistical and Comparative Analysis of Multi-Channel Infrared Anomalies before Earthquakes in China and the Surrounding Area

Round 1

Reviewer 1 Report

In this research, by introducing a statistical method based on connected domain recognition to analyze multichannel anomalies, pre-seismic anomalies from multichannel infrared remote sensing images using relative power spectrum are extracted. Then they calculated positive predictive values, true positive rates and probability gains in different channels. The results show that the probability gain of single - channel prediction method is extremely low. The positive predictive value of four-channel anomalies is 41.94%, which is higher than that of single-channel anomalies with the same distance threshold of 200 km. The probability gain of the multichannel method is 2.38, while that of any single-channel method is no more than 1.26. They show the difference in pre-earthquake anomalies in multi-channel infrared remote sensing images and indicate that it is feasible to use multichannel infrared remote sensing images to improve the accuracy of earthquake prediction. The presentation of the paper is also acceptable and the paper is well written. Overall the novelty of the idea is moderate, and I recommend some suggestions that can promote the quality of this paper:

 

1. The literature review section should be added with papers that are published over recent years. In the current version, only some limited works are presented in the introduction section.
2. Clarify your contribution to knowledge and the novelty of the research.
3. It is highly recommended to add a research methodology and the proposed framework at the beginning of section 2.
4. Please provide more details regarding the input data mentioned in section 2.1.
5. Figure 1 has not had enough quality (resolution).
6. The presented flowchart in Figure 2 needs more discussion. Please provide scientific reasons for selecting/proposing this process. Do you have any contributions to this part?
7. In section 2.3 we do not see any references! Provide reasons for selecting PPV and TPR as statistical indexes?
8. The paper includes many figures which most of which in the result section need comprehensive explanations that can provide straightforward results for readers.
9. Managerial insights regarding the application of the results for organizations/governments/regulation centres should be added.
10. It is highly recommended to elaborate on the future directions of the work.
11. Has your paper been proofread by a native English speaker or a person more familiar with the English language?

Author Response

Dear reviewer,

Thank you for your review and suggestions. The response has been attacthed. I would appreciate it if you can review the revised manuscript and give your comments.

Sincerely yours,

Fuchun Chen

Author Response File: Author Response.docx

Reviewer 2 Report

This paper, “Statistical and Comparative Analysis of Multichannel Infrared Anomalies before Earthquakes in China and Surrounding Area”, proposes a statistical method using multichannel infrared remote sensing data. The authors demonstrated the superiority of using multichannel data instead of using single channel data. There are a few issues that need to be addressed.

 

In fig 16, the comparison between the PPV, TPR, and Gain of multichannel methods. However, it is not clear why TPR is lower when using the multichannel method.

 

 

In the experiments, the authors demonstrated the performance of using multichannel methods by comparing a multichannel method and single channel methods. However, the authors are recommended to compare the proposed multichannel method with the state-of-the-art method.  

Author Response

Dear reviewer,

Thank you for your review and suggestions. The response has been attacthed. I would appreciate it if you can review the revised manuscript and give your comments.

Sincerely yours,

Fuchun Chen

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The revised is appropriate for publication.

Reviewer 2 Report

The reviewer's comments have been addressed in a satisfactory way.