Detailed Landslide Traces Database of Hancheng County, China, Based on High-Resolution Satellite Images Available on the Google Earth Platform

Round 1

Reviewer 1 Report

I attach my comments and suggestions

Comments for author File: Comments.pdf

Author Response

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Reviewer 2 Report

The manuscript deals with an interesting topic in scientific terms, but the text lacks a lot of information about the methodological procedures, the database, etc....While reading the manuscript, various questions arise, as exemplified below and which are pointed out in the text, as well as other questions about the figures, etc...!

What are the periods of the images? What are the time spans between them?

What is the temporal distribution of the features?

How were the images georeferenced?

Drawing up a histogram with the distribution is fundamental to understanding the categories in detail!

Comments for author File: Comments.pdf

Author Response

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Reviewer 3 Report

In this study, the authors produced a landslide database of Hancheng City, Shaanxi Province, China based on visual interpretation of high-resolution satellite images available in the Google Earth platform and 12.5-m digital elevation model. The region is in a junction of two tectonic plates, so landslide disasters are quite frequent. The authors identified more than 6700 landslide occurrences in the study area. The manuscript is well-prepared, and I believe the current version of the manuscript is ready for publication. I only have the following two minor comments:

1. I believe the title has room for improvement. My suggestion: Detailed landslide database of Hancheng County, China, based on high-resolution satellite images available in the Google Earth platform.

2. As the high-resolution images available in the Google Earth platform are quite dynamic, I suggest providing the time interval the authors spent accessing this platform.

3. In Figure 2, a brief discussion of Fig. 2c and Fig. 2d is missing in the text.

Minor English editing is required.

Author Response

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Round 2

Reviewer 1 Report

Dear Authors

The paper is really improved. Discussions and conclusions are much better. congratulations

Just change:

Instead of Figure 2 Google Earth images of three different periods in the same location use Figure 2 Google Earth images of (a) 2018, (b) .....

You have to indicate the number of references in Xu et al and Li et al. (see below) in the text

as shown in Table 2. Xu et al. used high-resolution satellite imagery to investigate 288 about 80,000 landslides on the Loess Plateau[62]. Li et al. used multi-temporal high-reso- 289

I suggest to insert two papers in the references (48 and 49 is the number where you can insert in the text)

48. Santangelo M., Althuwayne O., Alvioli M., Ardizzone  F., Bianchi C., Bornaetxea T., Brunetti M., Bucci F., Cardinali M., Donnini M., Esposito G., Gariano S.L., Grita S., Marchesini I., Mellillo M., Peruccacci S., Salvati P., Yazdazi M., Fiorucci F. (2023) Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022. Scientific data, 10, 427.

49. Devoto S., Hastewell L.J., Prampolini M., Furlani S. Dataset of gravity-induced landforms and sinkholes of the northeast coast of Malta (Central Mediterranean Sea). Data 6(8), 81.

Author Response

We sincerely appreciate your valuable comments，We've compiled the comments into a Word file for you to review,Please see the attachment.

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Reviewer 2 Report

The authors made changes to the manuscript that brought gains in terms of content and clarification of the study developed, as well as in the arrangement of the various items that make up the manuscript. The figures are clearer, as are the legends and the results are more straightforward for the reader to understand. I believe that the manuscript is in good enough condition to be accepted for publication.

Author Response

It is a great honor to receive your recognition of our manuscript, and thank you again for your guidance and revision of manuscript, which has improved the quality of manuscript