Analysis of Relationships between Parameters of the National Forest Inventory of Finland: Case Study of Mesic Forest

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dc.contributor.authorKavats, Olena O.en
dc.contributor.authorKhramov, Dmitriyen
dc.contributor.authorSergieieva, Kateryna L.en
dc.date.accessioned2025-11-27T09:34:19Z
dc.date.issued2025
dc.descriptionO. Kavats: ORCID 0000-0002-0172-7856; D. Khramov: ORCID 0000-0002-1737-7272; K. Sergieieva: ORCID 0000-0001-7345-2209en
dc.description.abstractENG: The use of satellite images and machine learning in addition to in situ data in national forest inventories enables covering large areas and significantly reduces costs. However, such combined inventories provide modelled stand properties, the relationships between which are not well understood. An approach to investigating linear and non-linear relationships between forest inventory parameters is proposed. It is applied to a study of the Multi-Source National Forest Inventory (MS-NFI) stand properties for the case of mesic forests. The relationships between MS-NFI parameters and stand reflectance in the visible, red edge, near infrared and short-wave infrared spectral regions were investigated for the Sentinel-2 satellite sensor. Linear models of canopy reflectance as a function of forest stand and elevation properties were developed. These models allowed to assess the comparative influence of MS-NFI parameters on stand reflectance as well as the monthly dynamics of this influence during the season (May–August 2019). Linear relationships between forest inventory parameters were investigated using a correlation matrix. Generalized additive models were used to investigate non-linear pairwise relationships between forest inventory parameters. The proposed approach can be applied to assess the impact of stand features obtained from conventional ground-based forest inventory on forest canopy reflectance.en
dc.description.sponsorshipForeign Company EOS Ukraine, Dniproen
dc.identifier.citationKavats O., Khramov D., Sergieieva K. Analysis of Relationships between Parameters of the National Forest Inventory of Finland: Case Study of Mesic Forest. Geological Society, Special Publications. 2026. Vol. 559, No. 1. DOI: https://doi.org/10.1144/gslspecpub2023-215.en
dc.identifier.doihttps://doi.org/10.1144/gslspecpub2023-215en
dc.identifier.issn0305-8719 (Print)
dc.identifier.issn2041-4927 (Online)
dc.identifier.urihttps://www.lyellcollection.org/doi/full/10.1144/gslspecpub2023-215en
dc.identifier.urihttps://crust.ust.edu.ua/handle/123456789/21319en
dc.language.isoen
dc.publisherGeological Society Publishing House, London, UKen
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectMulti-Source National Forest Inventory (MS-NFI)en
dc.subjectsatellite imagesen
dc.subjectmachine learningen
dc.subjectmesic forestsen
dc.subjectSentinel-2 satellite sensoren
dc.subjectКІТСuk_UA
dc.subject.classificationTECHNOLOGYen
dc.subject.classificationTECHNOLOGY::Information technologyen
dc.subject.classificationTECHNOLOGY::Information technology::Image analysisen
dc.titleAnalysis of Relationships between Parameters of the National Forest Inventory of Finland: Case Study of Mesic Foresten
dc.typeArticleen

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