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Peer-Review Record

Monitoring Growth Status of Winter Oilseed Rape by NDVI and NDYI Derived from UAV-Based Red–Green–Blue Imagery

Agronomy 2022, 12(9), 2212; https://doi.org/10.3390/agronomy12092212
by Nazanin Zamani-Noor * and Dominik Feistkorn
Reviewer 2:
Agronomy 2022, 12(9), 2212; https://doi.org/10.3390/agronomy12092212
Submission received: 28 August 2022 / Revised: 12 September 2022 / Accepted: 13 September 2022 / Published: 16 September 2022
(This article belongs to the Section Precision and Digital Agriculture)

Round 1

Reviewer 1 Report

Dear authors, I have provided my comments on your manuscript in a PDF file. In accordance with this, please revise your manuscript. Good luck.

Comments for author File: Comments.pdf

Author Response

Please see the attached file.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper explored the capability of monitoring the growth status of winter oilseed rape (OSR) using NDVI and NDYI from UAV images. The study area is the Salzdahlum, Lower Saxony, Germany. The background is well introduced. The methodology is clearly presented. The result is thoroughly presented and discussed. The English writing is good. Only several minor points need to be addressed and improved.

Have you tested or compared other vegetation indices? I would like to see a brief discussion about the potential impact of other common vegetation indices, like EVI, VCI, and NDWI.

Another concern is the reusability of the proposed method. Considering the cost of UAV images, is it possible to reuse and scale the method on the public remote-sensing-based vegetation index data set (for example: https://www.nature.com/articles/s41597-022-01565-2)?

Author Response

Please see the attachment

Author Response File: Author Response.pdf

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