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Article
Peer-Review Record

Modeling Diameter Distributions with Six Probability Density Functions in Pinus halepensis Mill. Plantations Using Low-Density Airborne Laser Scanning Data in Aragón (Northeast Spain)

Remote Sens. 2021, 13(12), 2307; https://doi.org/10.3390/rs13122307
by J. Javier Gorgoso-Varela 1,*, Rafael Alonso Ponce 2,3 and Francisco Rodríguez-Puerta 3,4
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2021, 13(12), 2307; https://doi.org/10.3390/rs13122307
Submission received: 13 May 2021 / Revised: 7 June 2021 / Accepted: 9 June 2021 / Published: 12 June 2021
(This article belongs to the Special Issue Advances in LiDAR Remote Sensing for Forestry and Ecology)

Round 1

Reviewer 1 Report

The paper entitled “Modelling diameter distributions with six probability density functions in Pinus halepensis Mill. plantations using low-density airborne laser scanning data in Aragón (northeast Spain)”, shows an interesting approach in the field of modelling diameter of pines.

In general, the article is well defined and structured, however some aspects like the approach accuracy needs to be better explained, especially the small trees placed in the study area vs the low density of the PNOA data. For this reason, it is required to show the 3D models and their position compared with the field data, also the metrics of field data vs the PNOA results.

Regarding the format, it is recommended to review the citation style.

Finally, in the “Conclusions” section it is need to extend and explain their founds.

Author Response

Please find in the attached file our comments

Author Response File: Author Response.docx

Reviewer 2 Report

This is a well-written manuscript that has very few typos, and the English is great. The paper describes a novel approach to modelling diameter distributions using aerial lidar data. I think readers will have a lot to gain from reading this work, specifically the authors' methods, and that it is ready for publication in Remote Sensing as is. I recommended accept in present form. Nice job!

Author Response

Thank you for your comments about the manuscript

Reviewer 3 Report

In this paper, the authors developed a methodology for modeling diameter distributions with six probability density functions using low-density airborne laser scanning data.

Below are my comments on the paper:

why do the authors decide to use airborne laser scanning with low-density of the 2016 year? if not are update data maybe is not a good indication to take into account in an inventory.

In the introduction section, the Authors should be updating the citations. Most of them should be from recent studies.

There are two citation formats. Authors should check the citation style of the journal and remove one of them. 

Line 40 specify the other parameters.

Lines 49-51 Are you considered all figures of forest or only the plantations?

Line 90 explain why authors decided to use data provided by PNOA.

In material and methods sections it is necesary a map situation of the study area.

The reading of the methodology is complicated to follow and needs to be explained in a simpler and more precise way.

Results, discussion and conclusion are good explained.

 

Author Response

Please find in the attached file our comments

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

The authors have improved the paper according to the reviewer's comments. Nice job.

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


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