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Article
Peer-Review Record

Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat Using Machine Learning

Remote Sens. 2023, 15(18), 4434; https://doi.org/10.3390/rs15184434
by Jonathan L. Batchelor 1,*, Andrew T. Hudak 2, Peter Gould 3 and L. Monika Moskal 1
Reviewer 1:
Reviewer 2:
Reviewer 3:
Remote Sens. 2023, 15(18), 4434; https://doi.org/10.3390/rs15184434
Submission received: 2 August 2023 / Revised: 30 August 2023 / Accepted: 5 September 2023 / Published: 9 September 2023
(This article belongs to the Special Issue Local-Scale Remote Sensing for Biodiversity, Ecology and Conservation)

Round 1

Reviewer 1 Report

pls find the comments in the attached file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

The manuscript entitled " Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat: Upscaling single scan TLS metrics to landscape level with machine learning" can be used as a reference for future studies. However, the authors must address the following issues to make it suitable for further revision.

1.      Title

The title of your manuscript should be short, specific, and relevant, with limited words. The title of this manuscript is too long. I recommend removing": Upscaling single scan TLS metrics to landscape level with". I suggest saying, "Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat using Machine Learning".  

2.      Keywords

Most reputable journals like MDPI remote sensing recommend three to ten pertinent keywords to the article, yet reasonably common within the subject discipline. I suggest removing some of the keywords you mentioned.

3.      Figures

Figures (i.e., images and maps)  must have a scale, a north arrow, and coordinates. Your map in  Figure1 & 12  lacks coordinates that are basic cartographic parameters. Similarly, in  figure1, the light white areas presented on the map are not depicted in the legend part or unclear what they represent.   

4.      Methodology

The ALS data (collected in 2016) and the TLS data (collected in 2022), but the months and date of data acquisition were not mentioned in your manuscript. If these data were collected in different seasons, the respective year's seasonal variations and annual climatic variability would greatly impact forest structure. How did you manage it?

Why are these years selected for data acquisition? In lines 451−452,  What do you mean "Ideally the dates  of the ALS and the TLS acquisitions would be closer temporally."?

 

Minor edits;

1.       The abbreviations mentioned in Line 127( WA DNR) & Line 147(FARO) shall be presented with full names and abbreviations in parentheses; use only the abbreviation thereafter.

2.       The reference listed [3639] should able presented according to the standard.

Minor editing of English language required. 

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 3 Report

Please see the attached

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

most of my concerns are addressed, the manuscript can now be published.

Reviewer 3 Report

Thanks for responding to my questions and concerns. 

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