Selection and Quantification of Best Water Quality Indicators Using UAV-Mounted Hyperspectral Data: A Case Focusing on a Local River Network in Suzhou City, China
Round 1
Reviewer 1 Report
Dear Authors
Many thanks for your contribution and selecting this journal for your possible publication.
The study conducted in a river network with model performance test is a good attempt and a good piece of work. I have gone through your study, which is good enough to present data. However, i feel few necessary corrections or improvement are required to its acceptance.
My specific comments are appended below: please improve and submit for quality checking with next round of review.
Comments need to be addressed during your revision work:
(1) Title need to be slight rewording. which will be : "Selection and Quantification of Best Water Quality Indicator by Using a UAV Mounted Hyperspectral Data: A case focusing a Local River Network in Suzhou City, China"
(2) Unmanned Aerial Vehicle (UAV) should be added in Keywords along with others you reported, as it is vital keyword.
(3) More importantly, this study has shortcoming in study area description, put it in a sub-section as 2.1 which will be included its geology, environmental settings, geographical explanation, climatic information, elevation, precipitation information etc. should be placed and along with broad location map, from China to micro region of lake location should be supplied in Figure 1. your current fig 1 should be place in Figure 2.
4. You should place your location sample map in real world perspective like you can use google earth and marked your sampling plot over the study river network.
5. 2.2 Data Acquisition and methods section should be more precise, currently it is not clear, too much text. Please be concrete with your different method steps. It would be good if your provide methods flow diagram which help to understand the whole process of this study.
6. What are the status of DO, BOD, which are also considered as an important water quality parameters, do you have measured those at field level?
7. Each diagram in Figure 6, text should be bold in both axis, it is faded now. Same you should do for Figs 9, and 10.
8. In section 5, Conclusion and future implications should be suggested at the end. Change heading name, and improve according to it.
No additional attachment is available in this review report.
Thanks
Review Date: 30 Oct 2022, Time: 4.42 PM
Author Response
We sincerely appreciate the time and constructive comments from you. These comments are very Important and helpful for enhancing the quality of the paper. We have revised the paper carefully based on these comments. We believe that the paper has been greatly improved after this revision. Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
This paper provides a new method to assess water quality from UAV imaging and optimization techniques. Overall the paper is well written and results are clearly represented. I have one minor suggestion. Whilst the river network is illustrated in Figure 1, there is no visualization of the target area. It would be helpful if a geographical map or an image of the target area including the rivers is added to the article.
Author Response
We sincerely appreciate the time and constructive comments from you. These comments are very Important and helpful for enhancing the quality of the paper. We have revised the paper carefully based on these comments. We believe that the paper has been greatly improved after this revision. Please see the attachment.
Author Response File: Author Response.docx
Reviewer 3 Report
This paper reports a new data-driven solution that can convert hyperspectral data from UAV-mounted imagers into multiple water quality indicators by establishing three group polynomial forms of inversion models with structures characterized by different combinations of hyperspectral bands. In this study, the author extends the water quality indicators to TB、TN、TP、NH3-N、IMN、COD. Especially, the authors claim the structure of the model with the best inversion effect for different water quality indicators is inconsistent, but considering both training error and verification error, the two-band model structure is more robust than the single or three-band structure.
Overall comment: The manuscript is well written with a clear structural framework and technical route. However, some missing materials and errors prohibit the manuscript. Detailed comments can be reached in the attachments. I believe this paper could be accepted after minor revision.
Comments for author File: 
Comments.pdf
Author Response
We sincerely appreciate the time and constructive comments from you. These comments are very Important and helpful for enhancing the quality of the paper. We have revised the paper carefully based on these comments. We believe that the paper has been greatly improved after this revision. Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
Dear Authors
Thanks for submitting your revision work.
It is good now as attained my suggestions my earlier comments. However, all diagrams and maps should provide to the journal with high quality. Please set lat long coordinate in the figure 1. rest are ok.
the paper can be accept after minor correction.
Good luck
Reviewer
Date 24 Nov 2022, Time: 5.08 PM
