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Peer-Review Record

Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model

Remote Sens. 2022, 14(13), 3047; https://doi.org/10.3390/rs14133047
by Liang Zhao 1, Jixue Liu 1,*, Stefan Peters 1, Jiuyong Li 1, Simon Oliver 2 and Norman Mueller 2
Reviewer 1:
Reviewer 2:
Reviewer 3: Anonymous
Remote Sens. 2022, 14(13), 3047; https://doi.org/10.3390/rs14133047
Submission received: 4 May 2022 / Revised: 21 June 2022 / Accepted: 22 June 2022 / Published: 25 June 2022

Round 1

Reviewer 1 Report

In this paper the authors have constructed a multispectral imagery dataset from Landsat 5 TM and Landsat 8 OLI. They have also proposed a DL model for fire smoke detection. Their experiment results demonstrated that the proposed model can effectively detect early fire smoke in various scenarios. In my opinion, this paper addresses an interesting topic and offers some innovation. The manuscript is definitely worth publishing.

 

My minor comments are attached.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Reviewer 2 Report

In view of the challenges faced by fire smoke detection today, this paper improves the accuracy of fire smoke detection by using high-resolution datasets and additional spectral bands. The reviewers believe that this work is not innovative enough, and the paper needs many revisions. The following points are also made:

 

1. The main contribution of the paper needs to be further expanded. Additional spectral bands can help identify more scene information for most other scenes, which is not enough to reflect the innovation of the paper.

2. The first two points of Section 3.3.1 need to be further expanded.

3. Section 3.3.2 needs to be adjusted, and the introduction of the loss function should be placed at the end of the model description.

4. The VIB_SD model proposed in this paper is not listed in the main contributions of the paper. So, whether the model is changed from the model proposed by others, and if so, the author should emphasize the changed part of the model.

5. The paper lacks ablation experiments.

6. The highlighting of the data in Table 9 is confusing.

7. There is an error in reference 17. Authors should carefully check all reference formats.

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Reviewer 3 Report

1.    I advise you to claim your novelty "Variant Input Bands for Smoke Detection" more firmly in the introduction, conclusion, and others

2.    I suggest you modify the title to highlight your novelty.

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Round 2

Reviewer 2 Report

My previous concerns have been modified. There is no more comments.

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