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Peer-Review Record

Seasonality and Characterization Mapping of Restored Tidal Marsh by NDVI Imageries Coupling UAVs and Multispectral Camera

Remote Sens. 2021, 13(21), 4207; https://doi.org/10.3390/rs13214207
by William Nardin 1,*, Yuri Taddia 1,2, Michela Quitadamo 1,2, Iacopo Vona 1, Corinne Corbau 1,3, Giulia Franchi 4, Lorie W. Staver 1 and Alberto Pellegrinelli 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2021, 13(21), 4207; https://doi.org/10.3390/rs13214207
Submission received: 3 August 2021 / Revised: 3 September 2021 / Accepted: 14 October 2021 / Published: 20 October 2021

Round 1

Reviewer 1 Report

The manuscript focused on the Seasonality and characterization mapping of restored tidal marsh by NDVI imageries coupling UAVs and multispectral camera.

Accept in present form

Author Response

We thank the Reviewer for suggestions and comments in the previous round of review.

Reviewer 2 Report

No substantial revisions have been made in this version of manuscript.

By using only four scenes of UAV images and plotting analysis (no further methodology besides data preprocessing), the study obviously lacks novelty. The quantitative relationship between vegetation volume and NDVI seems to have nothing to do with vegetation characterization.

Author Response

We thank the Reviewer for suggestions and comments in the previous round of review. We understand the concerns but the students involved in the project spent with all the research team a long time processing the data. Moreover, the study site is a remote place accessible with scheduled boats and its unique outdoor “laboratory”. This restoration effort is based on monitoring to build an understanding of marsh restoration management and strategies.

The ecological measurements of plants biomass requested an extraordinary effort from a broad team of students and researchers.

Reviewer 3 Report

Revision of the manuscript ID: remotesensing-1348093-peer-review-v1 “Seasonality and characterization mapping of restored tidal marsh by NDVI imageries coupling UAVs and multispectral camera.”.

 

The manuscript has been improved and merits publication in RS. Some minor details are indicated to be corrected before accepting the revised version of the manuscript.

 

The responses to the reviewer#1 are not fully completed. There are three items with no response:

 

#1 Figure 3 is not easy to follow for readers. Please I would like to ask the authors to make it more clear and understandable.

#2 L277 “the detected ecological zones”. This is not clear: what is this?

We are referring to the two areas with different vegetation restored. We changed the text in the as follow: “

#3 Section 2.4. This section should be reduced as NDVI is really well-known index. Please, include a table with dates of field survey, dates of multispectral images and other dates.

On the other hand, figure 5 is not clear: map and legend does not agree. It should be improved.

 

  • NDVI legend shows classified colors (discrete) and discrete data, but the map symbology does not show discrete classes but rather a continuous gradient.
  • Colors are not the same in the map and the legend . Orange is only in the map, not included in the legend; Gray is only in the legend, etc.
  • The NDVI colors should represent data intervals. Explain these unique values of the legend. It has non sense.

Author Response

Dear Reviewer,

In this document, we respond to the comments and queries from reviewers and editors. In all cases, the editor and Reviewers comments are numbered (page, ruler) and our responses are colored in red. Our response is attached as a pdf file.

 Sincerely,

William Nardin

Author Response File: Author Response.pdf

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