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A cross-European assessment on the pre-emergence detection of trees attacked by spruce bark beetle using UAV imagery

delete2026-05-08
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OA
AI
L
Langning Huo *
L
Luiz Henrique Elias Cosimo
A
A. Bozzini
S
Salma Bijou
R
Raquel Alves de Oliveira
J
Juha Suomalainen
E
Erika Vennervirta
N
Niko Koivumäki
R
Roope Näsi
L
Lucie Kupková
M
Massimo Faccoli
E
Eija Honkavaara
DOI:10.1016/j.rse.2026.115445delete
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Abstract

Abstract

En 中文
• Data assembled from 6 time-series UAV campaigns on outbreak areas across Europe. • Early detectability varies within stands but is broadly comparable across countries. • Using hyperspectral sensors improves detection by providing green-shoulder bands. • Red-edge band position is critical when selecting multispectral sensors. • Early-stage tree decline rate is the key control of detectability.
Keywords:
European spruce bark beetle
Early detection
Remote sensing
Hyperspectral imagery
Drone imagery
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Remote Sensing of Environment cover
Remote Sensing of Environment
IF:
11.4
Papers:
1.1W
Citations:
9.4W

Organization

F
finnish geospatial research institute fgi
Scholars:
21
Papers: 3
Citations: 0
U
university of padua
Scholars:
4.0K
Papers: 1.5K
Citations: 0
C
charles university
Scholars:
959
Papers: 381
Citations: 1
S
swedish university of agricultural sciences
Scholars:
1.4K
Papers: 661
Citations: 0
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