Extracting Tea Plantations from Multitemporal Sentinel-2 Images Based on Deep Learning Networks

Round 1

Reviewer 1 Report

The manuscript presents an insight into the most suitable method to be used in extracting tea plantations from multitemporal Sentinel-2 images based on deep learning networks. The findings presented in the study are interesting and well-articulated. However, a few issues need to be addressed in order to bring the manuscript to an acceptable form. My specific comments are:

1-      Please state the definition of the abbreviation of “IoU”.

2-      Mention the other four methods stated in Line 27.

3-      Add some references in the statement “Given the advantages…” Lines 55-57.

4-      Write in the third person, avoid personal pronouns, such as we, they, you, I, or our, their, or yours. A lot of “we” in the manuscript.

5-      Remove the last paragraph in the introduction section and instead please state the main objective/s of the study.

6-      The title of section 2 “Study area and data” will be more clear if you make it “Study area and  data acquisitions/collection”

7-      Do you mean March to April in Line 156??

8-      There is no Figure 6 in the text, instead Figure 5 mentioned Lines 409 and 413, please correct it.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Dear Authors,

Your manuscript has been significantly improved after the revision!

However, I think that, if you add the dates /months of VHR images acquisition in Fig.3, it would be clearer that you have considered the phenological differences of the tea plantations.

Well done!

Author Response

Dear reviewer,

Thank you for the advice! We have made modification according to the suggestion (Page 12, Line 414). Thank you for your time and effort in improving our manuscript!!

Sincerely.