Identifying European Old-Growth Forests using Remote Sensing: A Study in the Ukrainian Carpathians

Spracklen, BD and Spracklen, DV orcid.org/0000-0002-7551-4597 (2019) Identifying European Old-Growth Forests using Remote Sensing: A Study in the Ukrainian Carpathians. Forests, 10 (2). ARTN 127. ISSN 1999-4907

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Copyright, Publisher and Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: old-growth forest; multispectral satellite imagery; random forest; forest classification
Dates:
  • Published: 5 February 2019
  • Accepted: 31 January 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Funding Information:
FunderGrant number
NERCNE/L013347/1
Depositing User: Symplectic Publications
Date Deposited: 18 Apr 2019 09:07
Last Modified: 18 Apr 2019 09:07
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/f10020127
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