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Article
Peer-Review Record

Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network

Remote Sens. 2022, 14(17), 4316; https://doi.org/10.3390/rs14174316
by Ruichun Chang 1,2,3, Zhe Chen 1,2,3,4,*, Daming Wang 5 and Ke Guo 1,2,3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Remote Sens. 2022, 14(17), 4316; https://doi.org/10.3390/rs14174316
Submission received: 28 July 2022 / Revised: 28 August 2022 / Accepted: 29 August 2022 / Published: 1 September 2022
(This article belongs to the Special Issue Remote Sensing for Engineering and Sustainable Development Goals)

Round 1

Reviewer 1 Report

I added my comments in the attached PDF. 

Comments for author File: Comments.pdf

Author Response

please refer to the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

The study offers a method about hyperspectral remote sensing inversion of organic matter in black soil. The significance of the study’s content and the quality of presentation is average. The writing attitude about this article is not serious. The following is the specific suggestions:

1. The whole article may be the direct translation from Chinese article by using the translation software. There are many grammatical mistakes in the article. For example, Line 28 the letter “T” in the word “Then” should not be in the capital form. The same error also appears in Line 54 “Threatening”. The sentence from Line 74-78 may be directly translated from Chinese by the software and the authors did not check this sentence.

2. Figures 6, 14, and 13 are very vague. Figure 14 is in front of Figure 13.

3. There are not the geographical coordinate frame, proportional scale, and compass in Figures 1, 10 and 11. Figures 1, 10 and 11 are not standard maps. The scope of Figure 1 is inconsistent with Figure 10. There is not location information about sampling points in Figure 1 the study area.

4. Paragraphs 1 and 2 in the introduction should offer references.

5. Section 3 Methodology only offers the basic principle, and this section writing is like the book writing style. The methodology section should also present how to monitor organic matter in black soil by using the DPSO-BPNN method. This is the focus and title in this article, but authors do not present the specifications. For example, in Figure 7, which variables about the hyperspectral remote sensing inversion are in behalf of the input layer R, G, Q and C ?

6. Many sentences are too long, and this leads to the errors about sentence structure, such as Line 89-99.

Author Response

please refer to the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Thank you for making the changes. Now the manuscript is readable and much better than before. Well done!

I would like to mention a few things:

  1. Please read the manuscript and remove the typos, for example, line 82, need space between the comma and “and”. Likewise line number 93, space is required between data and bracket. There are many typos in the whole article, please remove these typos.
  2. Figure 6 and the text from lines 217 to 237 will also go in the results section.
  3. In Figure 10, please mention the units of SOM. Is it in g/kg or percentage? We cannot understand what RMSE 1.58 represent without units. Please provide the units.
  4. The same comment for figure 11 also. What does the value 1 to 7.6 represent? Give its units. If 1/100 represents the percentage, then use %. It is easy to understand.   

I hope that these comments will help you to improve your manuscript.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The manuscript has been improved to warrant publication in Remote Sensing

Author Response

Please see the attachment

Author Response File: Author Response.docx

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