An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks

Carless, D, Kulessa, B, Booth, A orcid.org/0000-0002-8166-9608 et al. (4 more authors) (2021) An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks. Geoderma, 402. 115176. ISSN 0016-7061

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Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Geoderma. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Ground-penetrating radar; Peat; Bog; Carbon stock; LiDAR; GIS
Dates:
  • Accepted: 21 April 2021
  • Published (online): 5 May 2021
  • Published: 15 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 May 2021 15:24
Last Modified: 05 May 2022 00:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.geoderma.2021.115176

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