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Article
Peer-Review Record

Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Remote Sens. 2023, 15(18), 4482; https://doi.org/10.3390/rs15184482
by Yifang Zhang 1, Qiao Chen 1,*, Pengcheng Su 2, Dunlong Liu 3, Jianzhao Cui 4, Jilong Chen 1, Jianrong Ma 1, Qiao Xing 5, Fenglin Xu 6, Yuanchao Fan 7 and Fangqiang Wei 1,8
Reviewer 1:
Reviewer 2:
Reviewer 3:
Remote Sens. 2023, 15(18), 4482; https://doi.org/10.3390/rs15184482
Submission received: 19 July 2023 / Revised: 28 August 2023 / Accepted: 2 September 2023 / Published: 12 September 2023
(This article belongs to the Special Issue Emerging Remote Sensing Techniques for Monitoring Glaciers and Snow)

Round 1

Reviewer 1 Report

The infrasound monitoring of ice avalanches can make up for the 106 deficiency of remote sensing technology and realize real-time monitoring of ice avalanche disasters. It is an interesting research to use infrasound sensor to monitor ice avalanche in real time. Good experimental setting and quantitative analysis were carried out in this study, and the results support the relevant conclusions.  

As there are few ice avalanches actually monitored, the conclusions of this study may not be universal. It is necessary to construct more ice avalanche infrasound monitoring arrays.

Author Response

Please see the attachment (Response to Reviewer 1 Comments)

Author Response File: Author Response.docx

Reviewer 2 Report

The main question of the research is the characteristics and classification and recognition of infrasound signals from glacier ice avalanches.

In general, the topic is original and relevant and does not address any gap. in the field of remote sensing.

This research tests the effect of the infrasound signals of the ice avalanche and presents a new method of avalanche measurements.

The specific modifications should the author consider are:

1.      The title should be concise yet descriptive enough to accurately represent the content of the paper.

2.      Consider incorporating the key findings derived from the results into the Abstract, along with a brief overview of your interpretations and conclusions.

3.      The method section of the paper appears lengthy due to the excessive inclusion of intricate details and explanations. Consider revising it for better clarity and conciseness.

The conclusion summarizes all the evidence and arguments presented in the manuscript; the reference is appropriate.

The maps and graphs expressed very well the result of the paper.

 

Author Response

Please see the attachment (Response to Reviewer 2 Comments)

Author Response File: Author Response.docx

Reviewer 3 Report

In chp. 2. Methods, subchp. 2.1.3. Earthquake, pag. 5, rows: 153-155: The sentence” And it is about 118 km away from the nearest focal center of the monitoring site (Nie Lamu County earthquake with magnitude 4.2), or has a great impact 154 on potentially unstable glaciers.: is not clear; please

In chp. 2. Methods, subchp. 2.2. Data Collection, 2.2.1. Overview of equipment layout, pag. 7, rows 185-197: the subchp. “Overview of equipment layout’ is unclear; please reorganize it, in correlation of the figure 5, presenting clearer the monitoring equipment used and their functions.

In chp. 2. Methods, subchp. 2.2. Data Collection, 2.2.1. Overview of equipment layout, pag. 7, rows 191-192: please explain why the infrasound array can effectively reduce the interference of background noise and improve the signal-to-noise ratio of the signals.

In chp. 2. Methods, subchp. 2.3.1. Infrasound signal preprocessing, (3)Filtering, pag. 13, rows: 280-281: in the sentence “As only the signals no more than 20Hz in frequency were analyzed in this study, signals larger than 20Hz in frequency need to be removed through filtering.”: please explain and comment why only the signals less than 20Hz in frequency were analyzed.

In chp. 2. Methods, subchp. 2.3.3. Class recognition method, pag. 20, rows559-562: in the sentence “As the main purpose of class identification is to identify disaster events, and this study focuses on ice avalanche disasters, the three types of events were given different weights: ice avalanche events 0.5, flood events 0.4, wind and rain events 0.1, and the comprehensive index of each classification model was calculated. “: please define/describe the comprehensive index of each classification model.

In chp. 4. Conclusions and future prospects, pag. 691: Please mention that, since it is impossible to determine accurately that abnormal events monitored are ice avalanche events, the infrasound-based ice avalanche monitoring technology is closely related with a video surveillance system.

 

Author Response

Please see the attachment (Response to Reviewer 3 Comments)

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

The authors took into account my recommendations and made correct additions/modifications in the manuscript.

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