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CORRECTION article
Front. For. Glob. Change , 28 November 2023
Sec. Forest Management
Volume 6 - 2023 | https://doi.org/10.3389/ffgc.2023.1337625
This article is a correction to:
Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine
A corrigendum on
Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine
Melnyk., O., Manko, P., and Brunn, A. (2023). Front. For. Glob. Change 6:1041882. doi: 10.3389/ffgc.2023.1041882
In the published article, there was an error in affiliation [1]. Instead of “Department of Geodesy, Landmanagement and Cadastre, Geographical Faculty, Lesya Ukrainka East European National University, Lutsk, Ukraine”, it should be “Department of Geodesy, Landmanagement and Cadastre, Geographical Faculty, Lesya Ukrainka Volyn National University, Lutsk, Ukraine”.
In the published article, there was an error regarding the affiliation for Pavlo Manko. As well as having affiliation [2], they should also have [Department of Geodesy, Landmanagement and Cadastre, Geographical Faculty, Lesya Ukrainka Volyn National University, Lutsk, Ukraine].
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: remote sensing, tree species, supervised classification, unsupervised classification, Ukraine
Citation: Melnyk O, Manko P and Brunn A (2023) Corrigendum: Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine. Front. For. Glob. Change 6:1337625. doi: 10.3389/ffgc.2023.1337625
Received: 13 November 2023; Accepted: 14 November 2023;
Published: 28 November 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Melnyk, Manko and Brunn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Oleksandr Melnyk, aG9ja2luc0BnbWFpbC5jb20=
‡ORCID: Oleksandr Melnyk orcid.org/0000-0002-5429-4038
Pavlo Manko orcid.org/0000-0001-7564-2356
Ansgar Brunn orcid.org/0000-0002-8692-3636
†These authors have contributed equally to this work
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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