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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1111/nph.17998
|2 doi
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|a pubmed25n1120.xml
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|a eng
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1 |
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|a Ribas Costa, Vicent Agustí
|e verfasserin
|4 aut
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| 245 |
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|a Uncrewed aircraft system spherical photography for the vertical characterization of canopy structural traits
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 31.03.2022
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|a Date Revised 29.07.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2022 The Authors New Phytologist © 2022 New Phytologist Foundation.
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|a The plant area index (PAI) is a structural trait that succinctly parametrizes the foliage distribution of a canopy and is usually estimated using indirect optical techniques such as digital hemispherical photography. Critically, on-the-ground photographic measurements forgo the vertical variation of canopy structure which regulates the local light environment. Hence new approaches are sought for vertical sampling of traits. We present an uncrewed aircraft system (UAS) spherical photographic method to obtain structural traits throughout the depth of tree canopies. Our method explained 89% of the variation in PAI when compared with ground-based hemispherical photography. When comparing UAS vertical trait profiles with airborne laser scanning data, we found highest agreement in an open birch (Betula pendula/pubescens) canopy. Minor disagreement was found in dense spruce (Picea abies) stands, especially in the lower canopy. Our new method enables easy estimation of the vertical dimension of canopy structural traits in previously inaccessible spaces. The method is affordable and safe and therefore readily usable by plant scientists
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a plant area density (PAD)
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| 650 |
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4 |
|a plant area index (PAI)
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| 650 |
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|a spherical photography
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| 650 |
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|a structural traits
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| 650 |
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4 |
|a uncrewed aircraft system (UAS)
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| 700 |
1 |
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|a Durand, Maxime
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Robson, T Matthew
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Porcar-Castell, Albert
|e verfasserin
|4 aut
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| 700 |
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|a Korpela, Ilkka
|e verfasserin
|4 aut
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| 700 |
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|a Atherton, Jon
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t The New phytologist
|d 1984
|g 234(2022), 2 vom: 19. Apr., Seite 735-747
|w (DE-627)NLM09818248X
|x 1469-8137
|7 nnas
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| 773 |
1 |
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|g volume:234
|g year:2022
|g number:2
|g day:19
|g month:04
|g pages:735-747
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|u http://dx.doi.org/10.1111/nph.17998
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