Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †

Heini Kanerva; Eija Honkavaara; Roope Näsi; Teemu Hakala; Samuli Junttila; Kirsi Karila; Niko Koivumäki; Raquel Alves Oliveira; Mikko Pelto-Arvo; Ilkka Pölönen; Johanna Tuviala; Madeleine Östersund; Päivi Lyytikäinen-Saarenmaa

doi:10.3390/rs14246257

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †

Heini Kanerva, Eija Honkavaara, Roope Näsi, Teemu Hakala, Samuli Junttila, Kirsi Karila, Niko Koivumäki, Raquel Alves Oliveira, Mikko Pelto-Arvo, Ilkka Pölönen, Johanna Tuviala, Madeleine Östersund, Päivi Lyytikäinen-Saarenmaa

Department of Forest Sciences

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	6257
Journal	Remote Sensing
Volume	14
Issue number	24
ISSN	2072-4292
DOIs	https://doi.org/10.3390/rs14246257
Publication status	Published - Dec 2022
MoE publication type	A1 Journal article-refereed

Fields of Science

bark beetle
deep learning
drone
object detection
remote sensing
tree health
4112 Forestry

Access to Document

10.3390/rs14246257Licence: CC BY

http://hdl.handle.net/10138/352172Licence: CC BY

Cite this

Kanerva, H., Honkavaara, E., Näsi, R., Hakala, T., Junttila, S., Karila, K., Koivumäki, N., Alves Oliveira, R., Pelto-Arvo, M., Pölönen, I., Tuviala, J., Östersund, M., & Lyytikäinen-Saarenmaa, P. (2022). Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †. Remote Sensing, 14(24), Article 6257. https://doi.org/10.3390/rs14246257

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keywords = "bark beetle, deep learning, drone, object detection, remote sensing, tree health, 4112 Forestry",

author = "Heini Kanerva and Eija Honkavaara and Roope N{\"a}si and Teemu Hakala and Samuli Junttila and Kirsi Karila and Niko Koivum{\"a}ki and {Alves Oliveira}, Raquel and Mikko Pelto-Arvo and Ilkka P{\"o}l{\"o}nen and Johanna Tuviala and Madeleine {\"O}stersund and P{\"a}ivi Lyytik{\"a}inen-Saarenmaa",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",

year = "2022",

month = dec,

doi = "10.3390/rs14246257",

language = "English",

volume = "14",

journal = "Remote Sensing",

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Kanerva, H, Honkavaara, E, Näsi, R, Hakala, T, Junttila, S, Karila, K, Koivumäki, N, Alves Oliveira, R, Pelto-Arvo, M, Pölönen, I, Tuviala, J, Östersund, M & Lyytikäinen-Saarenmaa, P 2022, 'Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †', Remote Sensing, vol. 14, no. 24, 6257. https://doi.org/10.3390/rs14246257

TY - JOUR

T1 - Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †

AU - Kanerva, Heini

AU - Honkavaara, Eija

AU - Näsi, Roope

AU - Hakala, Teemu

AU - Junttila, Samuli

AU - Karila, Kirsi

AU - Koivumäki, Niko

AU - Alves Oliveira, Raquel

AU - Pelto-Arvo, Mikko

AU - Pölönen, Ilkka

AU - Tuviala, Johanna

AU - Östersund, Madeleine

AU - Lyytikäinen-Saarenmaa, Päivi

PY - 2022/12

Y1 - 2022/12

KW - bark beetle

KW - deep learning

KW - drone

KW - object detection

KW - remote sensing

KW - tree health

KW - 4112 Forestry

U2 - 10.3390/rs14246257

DO - 10.3390/rs14246257

M3 - Article

AN - SCOPUS:85144816277

SN - 2072-4292

VL - 14

JO - Remote Sensing

JF - Remote Sensing

IS - 24

M1 - 6257

ER -