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Quantifying vegetation indices using TLS: methodological complexities and ecological insights from a Mediterranean forest.

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Title: Quantifying vegetation indices using TLS: methodological complexities and ecological insights from a Mediterranean forest.
Authors: Flynn, WIlliam Rupert Moore1, w.r.m.flynn@qmul.ac.uk, Owen, Harry Jon Foord2, ho304@cam.ac.uk, Grieve, Stuart William David, s.grieve@qmul.ac.uk, Lines, Emily Rebecca2, erl27@cam.ac.uk
Source: EGUsphere; 10/14/2022, p1-21, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159683817
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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      – Type: doi
        Value: 10.5194/egusphere-2022-1055
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Quantifying vegetation indices using TLS: methodological complexities and ecological insights from a Mediterranean forest.
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            NameFull: Flynn, WIlliam Rupert Moore
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            NameFull: Owen, Harry Jon Foord
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            NameFull: Grieve, Stuart William David
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              Text: 10/14/2022
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              Y: 2022
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