Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery

Tagle Casapia, X, Falen, L, Bartholomeus, H et al. (5 more authors) (2019) Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery. Remote Sensing, 12 (1). 9. p. 9. ISSN 2072-4292

Abstract

Metadata

Authors/Creators:
  • Tagle Casapia, X
  • Falen, L
  • Bartholomeus, H
  • Cárdenas, R
  • Flores, G
  • Herold, M
  • Honorio Coronado, EN
  • Baker, TR
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: object-based image analysis; unmanned aerial vehicles imagery; crown delineation; textural parameters; palm tree identification
Dates:
  • Published: 18 December 2019
  • Accepted: 16 December 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Jan 2020 14:38
Last Modified: 29 Jan 2020 14:38
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/rs12010009

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