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Peer-Review Record

Modeling Geospatial Distribution of Peat Layer Thickness Using Machine Learning and Aerial Laser Scanning Data

by Janis Ivanovs 1,*, Andreas Haberl 2 and Raitis Melniks 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Submission received: 5 February 2024 / Revised: 26 March 2024 / Accepted: 4 April 2024 / Published: 5 April 2024

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This interesting research will increase the reader's knowledge of the peat thickness prediction method. Several things still need to be explained and strengthened to improve this manuscript:

Line 74-77: Various indices were assessed for their closeness to the peat layer thickness in this research. The authors should explain the considerations for using each of these indexes.

L 79-80, 105-106, 252-255: from secondary data, information has been obtained that the thickness of the peat at the research site can reach 70 cm. There should be an explanation as to why the peat thickness classes predicted by the authors only use classes up to >20 as the highest level. The class division should be more detailed, for example, <20, 20-40, 40-60, and >60 cm.

L 85-88, 186-194, ….etc.: several paragraphs that convey information about opinions/findings of other parties should be accompanied by citation/reference(s).

L333-336: Can this method be applied to tropical peatlands whose thickness can reach more than 10m?

Comments on the Quality of English Language

Minor editing of the English is required. The authors used both North American and British English spellings.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

1. The addressed question is interesting, as it will provide accurate information on the spatial distribution of peat layer thickness while incorporating organic soils and their properties for decision-making and peat land management.
2. The theme is relevant to recent advancements in data processing using machine learning. This method allows for the interesting visualization of peat layer thickness by handling large amounts of spatial and non-spatial data.
3. The visualized map of peat layer thickness helps to assess peatlands' sensitivity to future climate change and potential feedback within climate models.
4. The proposed method visualizes predicted peat layer thickness classes as no peat, thin peat layer, and thick peat layer for thicknesses of 0 cm, up to 20 cm, and more than 20 cm, respectively. However, because these classes are not general, the other peat thicknesses may be classified in meters rather than centimeters.
5. The objectives are not clearly stated in the abstract or the introduction section. As a result, the conclusion may lead to a misunderstanding about which of the objectives is being addressed.
6. The number of cited references is adequate. However, the composition of recent updates should be reviewed by internal personnel to ensure compliance with the guidelines.

7. There are too few tables. On the other hand, the number figures and their clarity are satisfactory.

 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

8= horizon better than layers

12= organic soil or organic horizon

19= NFI is not explained

23= soil carbon, which type of carbon?

27= to destabilization, maybe to destabilize

33= attributes, what do you mean?

83,84= not paralleles and meridians, but N or S, W or E

135-135= explain better 

150-152= rewrite the sentence

160= methodology described in, better to write a coma and then the sentence

197= explain xgbTREE

223-225 rewrite the sentence and write better the unit measure

228-230= rewrite the sentence

237-239= rewrite the sentence

247-248= rewrite better

275-276= rewrite the sentence

300= you wrote the map we developed why not the developed map

it is not well explained the use of machine learning 

 

 

Comments on the Quality of English Language

The English needs minor editing.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The manuscript has been satisfactorily revised following the recommendations for improved quality. However, a minor typo exists during the formatting process in line 239 with the error message. In addition, a space must be inserted before Figure 4 in line 225 and Figure 5 in 248.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

Line 31= write additionally or globally, not both.

Line 33= write however or accurately

Line 61= “are prone to driver of change”. It is better to write are prone of driving

Line 88= organic soils in the Latvia cover ….

Line 88-89= use only the percentage not the area in square kilometers

Line 94-95 = In the sample plots located in the forest land, …..

Line 97= The thickness

Line 99= The size of the of soil probe

103= of organic carbon in the soil layer

Line 173= In a the raster layer

Line 180= geographic coordinate raster give gives

Line 224= (9760 km2 Km2)

line 225= (4799 km2 Km2)

line 247-248=  information both

line 251= both by trying to determine …..

line 323= lakes.[35] show……….. After a point there is a capital letter, the sentence has no subject

327-328= learning. [37] demonstrate……… As before

333= the model developed. The developed model

Line 341= Also. Never at the beginning of a sentence

Line 373= the approach used……The used approach

Comments on the Quality of English Language

Line 31= write additionally or globally, not both.

Line 33= write however or accurately

Line 61= “are prone to driver of change”. It is better to write are prone of driving

Line 88= organic soils in the Latvia cover ….

Line 88-89= use only the percentage not the area in square kilometers

Line 94-95 = In the sample plots located in the forest land, …..

Line 97= The thickness

Line 99= The size of the of soil probe

103= of organic carbon in the soil layer

Line 173= In a the raster layer

Line 180= geographic coordinate raster give gives

Line 224= (9760 km2 Km2)

line 225= (4799 km2 Km2)

line 247-248=  information both

line 251= both by trying to determine …..

line 323= lakes.[35] show……….. After a point there is a capital letter, the sentence has no subject

327-328= learning. [37] demonstrate……… As before

333= the model developed. The developed model

Line 341= Also. Never at the beginning of a sentence

Line 373= the approach used……The used approach

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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