Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification

Sun, B., Qin, P., Li, C. et al. (5 more authors) (2024) Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification. Geo-spatial Information Science, 27 (3). pp. 794-810. ISSN 1009-5020

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Item Type: Article
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© 2023 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Grassland types, vegetation phenological characteristics, polarization feature, integrated active and passive remote sensing, object-oriented classification
Dates:
  • Published: 3 May 2024
  • Published (online): 27 September 2023
  • Accepted: 16 August 2023
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 Oct 2024 10:01
Last Modified: 29 Oct 2024 10:01
Status: Published
Publisher: Taylor & Francis
Identification Number: 10.1080/10095020.2023.2250378
Open Archives Initiative ID (OAI ID):

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