Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network

Wagner, FH, Sanchez, A, Aidar, MPM et al. (6 more authors) (2020) Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network. PLOS ONE, 15 (2). e0229448-e0229448. ISSN 1932-6203

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Wagner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Published: 28 February 2020
  • Accepted: 6 February 2020
  • Published (online): 28 February 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Funding Information:
FunderGrant number
NERC (Natural Environment Research Council)NE/N012542/1
NERC (Natural Environment Research Council)Not Known
EU - European Union291585 (ERC 2011 ADG)
Depositing User: Symplectic Publications
Date Deposited: 03 Mar 2020 10:34
Last Modified: 03 Mar 2020 10:34
Status: Published
Publisher: Public Library of Science (PLoS)
Identification Number: https://doi.org/10.1371/journal.pone.0229448
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