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Article
Peer-Review Record

Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data

Remote Sens. 2023, 15(11), 2924; https://doi.org/10.3390/rs15112924
by Vaibhav Rajan, Mila Koeva *, Monika Kuffer, Andre Da Silva Mano and Shubham Mishra
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Remote Sens. 2023, 15(11), 2924; https://doi.org/10.3390/rs15112924
Submission received: 2 May 2023 / Revised: 1 June 2023 / Accepted: 1 June 2023 / Published: 3 June 2023
(This article belongs to the Special Issue Application of Remote Sensing in Cultural Heritage Research)

Round 1

Reviewer 1 Report

The paper is very interesting and well structured, as well as properly addressing the combination of aerial data from present and past periods. Few revisions could improve the general asset of the paper:

  • In addition to [2], I suggest adding other references to improve the bibliography, a bit poor for the topics of the article. In accord with the sentences in lines 35-36 and/or 48-49 the authors could include:

S. Ceccarelli, M. Francucci, M. Ferri De Collibus, M. Ciaffi, R. Fantoni, R. Carmagnola, G. Adinolfi and M. Guarneri, Comparative study of historical and scientific documentation of the paintings in the Querciola Tomb in Tarquinia, J. of Cultural Heritage, Vol. 61, 2023, pp. 229-237, https://doi.org/10.1016/j.culher.2023.05.002

Ronchi, D.; Limongiello, M.; Demetrescu, E.; Ferdani, D. Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction. Sensors 2023, 23, 2769. https://doi.org/10.3390/s23052769

Ronchi, D.; Limongiello, M.; Demetrescu, E.; Ferdani, D. Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction. Sensors 2023, 23, 2769. https://doi.org/10.3390/s23052769 

Miriam Cabrelles, José Luis Lerma, Luis García-Asenjo, Pascual Garrigues, Laura Martínez, Long and close-range terrestrial photogrammetry for rocky landscape deformation monitoring, Conference: 5th Joint International Symposium on Deformation Monitoring, DOI: 10.4995/JISDM2022.2022.13933 

  • Fig.4-13: the source is not needed

  • Page 10, lines 305-306: replace link within the text and the sentence about the cost of the images with a references 

  • In fig.13 do not repeat the word “figure”

  • Page 18 line 466: the reference to the figure is wrong, I suppose the authors would recall the fig.22 with the bar graph. Furthermore, consider to show the comparison specify the years instead of the span of 4 years. This change could give more impact in the data comprehension.

  • Page 20 line 495: cite the figure 24-27

Good Quality of english 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

This paper aims to produce very high resolution Digital Surface Model (LoD-2) by combinaison of present and past datasets of the Mosque Shahjahanabad, in Dehli (India). 

The article is well presented and written, with an exhaustive bibliography. All along the reading, the  authors paid attention to explain the different concepts, always useful for the non experts. The figures are well described and the methodology used well explained.

L205: GSD is  not explained (Ground Sample Distance ?)

 

A simple remark in a scientific article the use of “we” is to avoid, to my opinion.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

I would like to congratulate the authors for this work.

This work appears to be a comprehensive text on the topic of generating 3D city models from historical satellite images using remote sensing data sources and methodologies, including deep learning.

The methodology appears to be accurately described. The authors provide a detailed account of their methodology, including the selection of data sources, processing techniques, and software used. They also explain how they used deep learning methods to refine their DSMs for 3D modeling. Overall, the methodology appears to be well-documented and transparent, which is important for ensuring reproducibility and reliability of research results.

They also discuss the results obtained from their study, which demonstrate the effectiveness of remote sensing data sources and methodologies for generating accurate and detailed city models from historical satellite images. Overall, the results obtained are consistent with the study object and methodology described in the text.

The authors suggest areas for improvement in future studies, such as exploring methods to orient street photographs in 3D space and incorporating additional data sources such as LiDAR. Overall, this study has important applications in urban planning, heritage conservation, and cultural identity preservation.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 4 Report

Please find attached a file with comments that I hope you will take into consideration.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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