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Article
Peer-Review Record

A Technology for Seismogenic Process Monitoring and Systematic Earthquake Forecasting

Remote Sens. 2023, 15(8), 2171; https://doi.org/10.3390/rs15082171
by Valery Gitis and Alexander Derendyaev *
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Reviewer 4:
Remote Sens. 2023, 15(8), 2171; https://doi.org/10.3390/rs15082171
Submission received: 16 March 2023 / Revised: 16 April 2023 / Accepted: 18 April 2023 / Published: 20 April 2023
(This article belongs to the Section Earth Observation for Emergency Management)

Round 1

Reviewer 1 Report

The article presents a technology for the joint analysis of geophysical monitoring data for assessing the current seismic hazard, implemented as a software package that integrates the functions of analysis and visualization of seismic hazard assessments in real time. This software package (GeoTime) is the result of the development of analysis methods by the authors over a long period of time and is available for use by other researchers at the links provided in the article. The package is interactive and available for collaborative analysis of various geophysical data. In particular, the authors use seismic catalogs and information about the displacement of the earth's surface, measured by means of space geodesy (GPS). The data analysis methods are based on machine learning methods, logical analysis of a set of features, which are considered as indicators of an increase in seismic hazard. A useful feature of the developed package is the ability to quickly visualize assessments, available to external users. Examples of the application of the developed methods for seismic hazard analysis in Japan, California and Kamchatka are given.

Author Response

Thank you very much for your review.

Reviewer 2 Report

It is interesting to see this research work. I hope it can promote the study and application in earthquake prediction. Some suggestions here:

1. This paper presented an improved earthquake analysis and forecasting technique and tools.    

2. In recent years, remote sensing provided useful data to many research areas. Is it possible to use remote sensing data in the GIS system? Why or why not?  

3. I think you should add georeference information in Fig. 2.  

4. Can the authors add more information about previous tools for earthquake analysis and forecasting?

5. Add more introduction about the technique.

6. Provide more application cases.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

The manuscript entitled “A Technology for Seismogenic Process Monitoring and Systematic Earthquake Forecasting” is interesting. I appreciate the author's effort in producing this manuscript. However, this manuscript is submitted to remote sensing, without even mentioning "remote sensing" at least once.

Please find the detailed comments below.

Please provide a detailed justification on "why this manuscript is suitable to be published in remote sensing". Because this work is a pure GIS-based study with a historical dataset.

The abstract should be described with novelty and research contribution. No experimental results were presented.

The methodology and results are all messed up. Should be explained individually.

The manuscript is difficult to understand for the reader. Please kindly reformat based on the author's instruction.

Please provide a justification for the current earthquake in Turkey.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 4 Report

A Review report for manuscript: A Technology for Seismogenic Process Monitoring and Systematic Earthquake Forecasting

In general, the manuscript idea sounds good and innovative using Web-GIS. The author has published the first version of the platform; in this study, a new version of the platform is suggested. It is recommended by the author to summarize the values and effective of the first version as well as the problems. Moreover, most of maps are poor display and missing elements, author did not explain the geodesy data used in this study. Some notes are inserted below:

 

Section 2. Technology of systematic earthquake prediction

Need to more clarify using flow chart or graph describe the text and equations.

 

Page2 line 46: space geodesy data need to more details, type of data, satellites, accuracy , processing and analysis.

 

Page 3 line 74: Machine learning and forecasting method of the minimum area of alarm techniques need to more references and clarification

 

The author should summarize the effective of the first version of the platform, what is the invention in the second version of the platform

 

Figure1. Stages of processing, the input and the outputs not clear.

Page 5. Line 200: the Earthquakes data evaluation, uncertainty and availability are required.

 

Page 5 line 198: the GIS functions applied in this study included database structure, software, methods of analysis and cartography should be mention.

 

Page 7 line 289: Author should say types of satellite geodesy data and how used in this study.

 

Figure 6: Sub-figures numbering and color scale are required.

Figure 8 and 10. Missing the size of circle scale

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

The manuscript is well prepared and improved. I would recommend accepting it in its current form. 

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