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Article
Peer-Review Record

An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation

Forests 2019, 10(8), 680; https://doi.org/10.3390/f10080680
by Ayana Fujimoto 1, Chihiro Haga 1, Takanori Matsui 1,*, Takashi Machimura 1, Kiichiro Hayashi 2, Satoru Sugita 3 and Hiroaki Takagi 4
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Forests 2019, 10(8), 680; https://doi.org/10.3390/f10080680
Submission received: 26 June 2019 / Revised: 7 August 2019 / Accepted: 8 August 2019 / Published: 11 August 2019
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)

Round 1

Reviewer 1 Report

Please find my comments and suggestions in the attached PDF document.

Comments for author File: Comments.pdf

Author Response

We would like to thank the reviewer for their constructive and insightful comments. We have carefully examined them, and have made modifications to the manuscript where necessary. All modified texts in the manuscript are highlighted with the red colored font. The table in the attachment shows our responses to the reviewer’s comments as well as the locations where modifications to the manuscript were made accordingly.

Author Response File: Author Response.docx

Reviewer 2 Report

This study titled “An End to End Process Development for UAV-SfM based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation” is an interesting study that uses images from drone-based platform to map tree species at three hierarchical levels. The study uses a combination of software packages where one can feed data sets to get different products. However, the study is supported by field data collection.

My major concern with this paper is the use of technical terms, and sometimes using incorrect terms. For example, MODIS Sensor is mentioned as a satellite. Similarly, there is no mention of datum and coordinate system used for the analysis, and the maps are cartographically incorrect. This demonstrates a shallow depth of knowledge about the tools and methods being used for this study that potentially can lead to misinterpretation of results. I have mentioned some of these aspects through the text in the PDF version of the paper.


Comments for author File: Comments.pdf

Author Response

We would like to thank the reviewer for their constructive and insightful comments. We have carefully examined them, and have made modifications to the manuscript where necessary. All modified texts in the manuscript are highlighted with the red colored font. The table in the attachment shows our responses to the reviewer’s comments as well as the locations where modifications to the manuscript were made accordingly.


Author Response File: Author Response.docx

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