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Eija Honkavaara

National Land-Survey of Finland,

SCHOLARLY PAPERS

3

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90

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Domain-Generalized Detection and Classification of Bark Beetle Damage Using Multispectral UAS Imagery

Number of pages: 41 Posted: 22 Dec 2025
Emma Turkulainen, Roope Näsi, Niko Koivumäki, Raquel Alves de Oliveira, Päivi Lyytikäinen-Saarenmaa, Johanna Tuviala, Mikko Pelto-arvo, Samuli Junttila and Eija Honkavaara
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Eastern Finland, University of Eastern Finland, University of Helsinki and National Land-Survey of Finland,
Downloads 49 (1,097,529)

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Domain Generalization, Deep Learning, bark beetle, UAS, Multispectral Imagery

2.

Spatio-Spectro-temporal Characterisation and Correction of Dark Current in a Snapshot Hyperspectral Sensor

Number of pages: 22 Posted: 25 May 2026
Vikas Sharma, Matthew Hayden, Eija Honkavaara and Surya Kant
Agriculture Victoria, Grains Innovation Park, AgriBio - Centre for AgriBioscience - Agriculture Victoria, National Land-Survey of Finland, and La Trobe University
Downloads 22 (1,509,872)

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Hyperspectral, UAV Imaging, Dark Current, Senop HSC-2, DSNU, Hot Pixels, Spatio- spectro-temporal Analysis

3.

Time-Series Hyperspectral Framework for Phenotyping Water Stress Progression and Senescence Dynamics in Wheat

Number of pages: 31 Posted: 28 Apr 2026
Surya Kant, Vikas Sharma, Eija Honkavaara and Matthew Hayden
La Trobe University, La Trobe University, National Land-Survey of Finland, and AgriBio - Centre for AgriBioscience - Agriculture Victoria
Downloads 19 (1,518,554)

Abstract:

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High-throughput phenotyping, Hyperspectral remote sensing, Time-series analysis, Machine Learning, Water stress, Senescence, Red-edge and shortwave infrared (SWIR)