Study on the Remote Sensing Spectral Method for Disaster Loss Inversion in Urban Flood Areas

Round 1

Reviewer 1 Report

My previous comments have been addressed in this manuscript.

Author Response

Responds to the reviewer’s comments:

 (1) My previous comments have been addressed in this manuscript.

 Response: Thank you again for your valuable comments. Your suggestions not only improve the quality of the article, but also guide our future research work.

Reviewer 2 Report

Please, keep attention to the text formatting. Namely, formulas, variables and symbols should be in italic in both equations and in the text body.

Author Response

Responds to the reviewer’s comments:

(1) Please, keep attention to the text formatting. Namely, formulas, variables and symbols should be in italic in both equations and in the text body.

Response: Thank you very much for your comments. According to your suggestions, we have modified and verified the formulas, variables and symbols in the full text. Revised portion are marked in red in the paper. Thank you again for your comments and suggestions. Your comments will help improve the quality and writing standards of our papers.

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Round 1

Reviewer 1 Report

I have read the manuscript “Study on the Remote Sensing Spectral Method for Disaster Loss Inversion in Urban Flood Areas”. In this paper, the spatial distribution of urban flood disasters was inverted based on large-scale multidimensional remote sensing spectral orthography; the spatial coupling inversion of the remote sensing spectrum-urban economy-flood disaster was performed by simulating the urban economic density through single spectral remote sensing at night; then losses at the urban flood area were estimated. Finally the method was applied to analyses the 7.20 flood disaster in Henan province. Although the topic and the word is interesting, the current version is unclear in terms of methods and presentations, should be improved.

(1) How to invert the spatial distribution of urban flood disasters based on large-scale multidimensional remote sensing spectral orthoimages? How to simulate the urban economic density based on remote sensing of night lights? How to establish the remote sensing spectrum-urban economy-flood disaster assessment model? Such methods have not been provided in the section of Materials and Methods. A flow chart and necessary method introduction are required.

(2) L183-L184 “Consistent with many previous studies, the economic loss of flood disasters shows a strong positive correlation with the level of rainfall”, but previous sentences L178-L182 are about precipitation. How did this conclusion come about?

(3) How to control the accuracy when using the NDWI to interpret flood disaster water body? How to verify that the extracted submerged water body is reasonable?

(4) Figure 4(d) is confused, how to obtain the data?

(5) Figure 6(c) is unreasonable. The lower boundary of the shadow is less than 0, but it is impossible for GDP to be negative.

(6) Table 3 is not clear. How to estimate the direct economic loss, indirect economic loss, and direct loss per unit area of urban flood disasters is unclear.

Reviewer 2 Report

The paper is interesting and addressing an interesting topic, however some concerns should be addressed:

1.             The title is appropriate.

2.             The structure of the abstract is acceptable.

3.             The defined keywords are acceptable, no comment.

4.             The introduction is acceptable. However my suggestion is that it would be a good idea that the authors start the introduction with some grand challenges: such as climate change exacerbate the frequency and severity of major floods,…….” About a couple of sentences.

5.             Pleas elaborate the research contribution in the introduction more.

6.             Some relevant studies have been missed:

Auliagisni, Widi, Suzanne Wilkinson, and Mohamed Elkharboutly. "Using community-based flood maps to explain flood hazards in Northland, New Zealand." Progress in Disaster Science 14 (2022): 100229.

Nghia, Bui Phan Quoc, et al. "Applying Google earth engine for flood mapping and monitoring in the downstream provinces of Mekong river." Progress in Disaster Science (2022): 100235.

7.             It would be a good idea if the authors provide a general flowchart to summaries the research method and then delve to each sections. OR they can briefly explain the research method and then explain each section in more details.

8.             In figure 1 pleas use another map to show the location of the “Henan Province” in the country.

9.             Please summaries the data source in a table (section 2.2.)

10.          Pleas review and revise the notations and indices, please see equation 6.

11.          A managerial insight should be added to this paper and the authors should explain how this paper can contribute to different communities particularly to disaster and emergency departments and agencies, see:

Yazdani, Maziar, et al. "A modelling framework to design an evacuation support system for healthcare infrastructures in response to major flood events." Progress in Disaster Science 13 (2022): 100218.