Detecting and predicting forest degradation: A comparison of ground surveys and remote sensing in Tanzanian forests

Ahrends, A, Bulling, MT, Platts, PJ et al. (25 more authors) (2021) Detecting and predicting forest degradation: A comparison of ground surveys and remote sensing in Tanzanian forests. Plants People Planet, 3 (3). pp. 268-281. ISSN 2572-2611

Abstract

Metadata

Authors/Creators:
  • Ahrends, A
  • Bulling, MT
  • Platts, PJ
  • Swetnam, R
  • Ryan, C
  • Doggart, N ORCID logo https://orcid.org/0000-0003-3367-5437
  • Hollingsworth, PM
  • Marchant, R
  • Balmford, A
  • Harris, DJ
  • Gross-Camp, N
  • Sumbi, P
  • Munishi, P
  • Madoffe, S
  • Mhoro, B
  • Leonard, C
  • Bracebridge, C
  • Doody, K
  • Wilkins, V
  • Owen, N
  • Marshall, AR
  • Schaafsma, M
  • Pfliegner, K
  • Jones, T
  • Robinson, J
  • Topp-Jørgensen, E
  • Brink, H
  • Burgess, ND
Copyright, Publisher and Additional Information: © 2021 The Authors. Plants, People, Planet © New Phytologist Foundation. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: biodiversity conservation; carbon emissions; community-based forest management; East Africa; global forest watch; human disturbance; synthetic aperture radar; village land forest reserves
Dates:
  • Published: 1 May 2021
  • Accepted: 8 January 2021
  • Published (online): 27 April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Jun 2021 16:04
Last Modified: 08 Jun 2021 16:04
Status: Published
Publisher: Wiley Open Access
Identification Number: https://doi.org/10.1002/ppp3.10189

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