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Remote Sensing
Volume 13
Issue 17
10.3390/rs13173496
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Article
Peer-Review Record

GNSS and RPAS Integration Techniques for Studying Landslide Dynamics: Application to the Areas of Victoria and Colinas Lojanas, (Loja, Ecuador)

Remote Sens. 2021, 13(17), 3496; https://doi.org/10.3390/rs13173496
by Belizario A. Zárate 1,*, Rachid El Hamdouni 2 and Tomás Fernández 3,4
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Remote Sens. 2021, 13(17), 3496; https://doi.org/10.3390/rs13173496
Submission received: 4 August 2021 / Revised: 29 August 2021 / Accepted: 31 August 2021 / Published: 3 September 2021

Round 1

Reviewer 1 Report

In this study, GNSS and RPAS technology are used to monitor the movement of a landslide, and the deformation distribution of landslide area is obtained through UAV images and GNSS in different periods. Generally speaking, the idea of this study is clear and the introduction of technical means is acceptable. The conclusion seems to be reliable. I only have one suggestion. After the author introduces the previous work, the study lacks a necessary summary and transition, so as to lead to the work of this study. Therefore, I suggest adding this part to the introduction.

Author Response

Dear reviewer
Thank you very much for the observations and comments on our article. We attach the answers to your comments. Kind regards
The authors

Author Response File: Author Response.docx

Reviewer 2 Report

The work is valuable from a scientific point of view and is well written. However, minor revisions are necessary before publication. Abstract: There is a point missed in line 23. Introduction: The literature regarding the application of remote sensing and traditional techniques data to analyse or predict the landslides effect at different scales should be added/enriched: M. Del Soldato, L. Solari, F. Poggi, F. Raspini, R. Tomás, R. Fanti, N. Casagli, Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves. Remote Sensing, 11(12), 1486, 2019. A. Miano, A. Mele, D. Calcaterra, D. Di Martire, D. Infante, A. Prota, M. Ramondini, The use of satellite data to support the structural health monitoring in areas affected by slow-moving landslides: a potential application to reinforced concrete buildings. Structural Health Monitoring, 1475921720983232, 2021. C. Colesanti, J. Wasowski, Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering Geology, 88, 173-199, 2006. Introduction: Maybe it would be interesting to discuss more in depth the possible error in the measurements of the displacement in relation to the possible applications. Study areas: Discuss the frequency and impact of landslides in the study area, also with respect to other hazard sources such as earthquakes. Figure 3: It seems to be out of the margins of the sheet. Figure 4: It seems to be out of the margins of the sheet. Ground motion selection: Maybe could be useful to overlap the results of the different records selections to immediately see the comparison. Conclusions: Can these results be used in structural assessment applications?

Author Response

Dear reviewer
Thank you very much for the observations and comments on our article. We attach the answers to your comments. Kind regards
The authors

Author Response File: Author Response.docx

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