Automatic Extraction of Mountain River Surface and Width Based on Multisource High-Resolution Satellite Images
Round 1
Reviewer 1 Report
The authors have presented an interesting method for the extraction of river surfaces and an automated river width extraction approach. The algorithms introduced by the authors have shown good results with an accuracy of 94.7% for river surface extraction. The authors seem to have put great efforts to make the manuscript complete. However, there still are some aspects to consider for an accomplished work. Hence, I would suggest the following:
- An algorithmic description of the authors' methodology would enhance and enrich the work.
- Additional works or at least one from 2022 or 2021 for comparison. The authors have studied some works from 2021 but not for comparison. They are only stated in the state of the art description [5,31,32].
Author Response
Dear Reviewer,
Thank you very much for your careful review and constructive comments related to our manuscript.Revised sections were highlighted with green color in the revised manuscript. The point-by-point responses to your comments/questions are detailed below.
Yours sincerely!
Author Response File: 
Author Response.docx
Reviewer 2 Report
Presented automatic extraction of mountain river surface and width taking into account high-resolution satelite images is very valuable and practical tool to utilize in river basin not only in China, but in other countries also. Developed automated river width extraction method, ARWE, based on centerline correction algorithm and central axis transformation algorithm, ARWE, realized the automatic extraction of river width from river surface. Please add just a few latest references concerning presented study.
Author Response
Dear Reviewer,
Thank you very much for your careful review and constructive comments related to our manuscript. Based on your suggestions, we have added 5 references that are closely related to this study. Revised sections were highlighted with green color in the revised manuscript. The point-by-point responses to your comments/questions are detailed below.
Yours sincerely!
Author Response File: Author Response.docx
Reviewer 3 Report
- Line 118: Does average gradient mean average slope?
- Provide the source of the small watercourse classification adopted in the paper (width less than 90 m).
- Line 163 The data listed in the paragraph "the multispectral wide coverage image resolution is 16 m" was not used in the paper - this information can be removed.
- Table 1. Change "The horizontal resolution is 0.88 m" to "resolution 0.88 m"
- In paragraphs 166-173. it is indicated that ZY-3 (2.1 m/5.8 m), GF-1 (2 m/8 m), and Landsat-8 (TIRS - 100 m ???) were used other information is given in Figure 3.
- The discussion section should be completed in the paper.
- The authors indicate in the title that they use "multisource high-resolution satellite images" but the paper includes other Landsat 8 data products STRM and UAV-DEM. Consider revising the title.
- It is worth presenting in the paper values of differences between measured and extracted river widths in the form of box plots separately for each category of rivers tiny, thin, small and wide.
- Figures 7 and 12 standardize font size.
- Figure 7 Round the numbers on the vertical axis.
- Clarify the conclusions of using the indices presented in Table 2. Is it necessary to calculate as many indices?
Author Response
Dear Reviewer,
Thank you very much for your careful review and constructive comments related to our manuscript. In total, you have given us 11 very important suggestions. Based on your valuable suggestions, we completed the revision of the manuscript. Revised sections were highlighted with green color in the revised manuscript. The point-by-point responses to your comments/questions are detailed below.
Yours sincerely!
Author Response File: Author Response.docx
