Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season

Samuli Junttila; Roope Nasi; Niko Koivumaki; Mohammad Imangholiloo; Ninni Saarinen; Juha Raisio; Markus Holopainen; Hannu Hyyppa; Juha Hyyppa; Paeivi Lyytikainen-Saarenmaa; Mikko Vastaranta; Eija Honkavaara

doi:10.3390/rs14040909

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season

Samuli Junttila, Roope Nasi, Niko Koivumaki, Mohammad Imangholiloo, Ninni Saarinen, Juha Raisio, Markus Holopainen, Hannu Hyyppa, Juha Hyyppa, Paeivi Lyytikainen-Saarenmaa, Mikko Vastaranta, Eija Honkavaara

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Artikelnummer	909
Tidskrift	Remote Sensing
Volym	14
Nummer	4
Antal sidor	26
ISSN	2072-4292
DOI	https://doi.org/10.3390/rs14040909
Status	Publicerad - feb. 2022
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

4112 Skogsvetenskap
1171 Geovetenskaper

Åtkomst av dokument

10.3390/rs14040909Licens: CC BY

remotesensing-14-00909Slutlig publicerad version, 12,2 MBLicens: CC BY

Citera det här

Junttila, S., Nasi, R., Koivumaki, N., Imangholiloo, M., Saarinen, N., Raisio, J., Holopainen, M., Hyyppa, H., Hyyppa, J., Lyytikainen-Saarenmaa, P., Vastaranta, M., & Honkavaara, E. (2022). Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. Remote Sensing, 14(4), [909]. https://doi.org/10.3390/rs14040909

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title = "Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season",

keywords = "unmanned aerial vehicle, remote sensing, Random Forest, pest insects, forest damages, tree vitality, forest monitoring, Ips typographus, forest decline, bark beetle infestation, European spruce bark beetle, UNMANNED AERIAL VEHICLES, NORWAY SPRUCE, FOREST, UAV, CLASSIFICATION, DISTURBANCE, IMPACT, 4112 Forestry, 1171 Geosciences",

author = "Samuli Junttila and Roope Nasi and Niko Koivumaki and Mohammad Imangholiloo and Ninni Saarinen and Juha Raisio and Markus Holopainen and Hannu Hyyppa and Juha Hyyppa and Paeivi Lyytikainen-Saarenmaa and Mikko Vastaranta and Eija Honkavaara",

year = "2022",

month = feb,

doi = "10.3390/rs14040909",

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Junttila, S, Nasi, R, Koivumaki, N, Imangholiloo, M , Saarinen, N, Raisio, J, Holopainen, M, Hyyppa, H, Hyyppa, J, Lyytikainen-Saarenmaa, P, Vastaranta, M & Honkavaara, E 2022, 'Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season', Remote Sensing, vol. 14, nr. 4, 909. https://doi.org/10.3390/rs14040909

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AU - Junttila, Samuli

AU - Nasi, Roope

AU - Koivumaki, Niko

AU - Imangholiloo, Mohammad

AU - Saarinen, Ninni

AU - Raisio, Juha

AU - Holopainen, Markus

AU - Hyyppa, Hannu

AU - Hyyppa, Juha

AU - Lyytikainen-Saarenmaa, Paeivi

AU - Vastaranta, Mikko

AU - Honkavaara, Eija

PY - 2022/2

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KW - Random Forest

KW - pest insects

KW - forest damages

KW - tree vitality

KW - forest monitoring

KW - Ips typographus

KW - forest decline

KW - bark beetle infestation

KW - European spruce bark beetle

KW - UNMANNED AERIAL VEHICLES

KW - NORWAY SPRUCE

KW - FOREST

KW - UAV

KW - CLASSIFICATION

KW - DISTURBANCE

KW - IMPACT

KW - 4112 Forestry

KW - 1171 Geosciences

U2 - 10.3390/rs14040909

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