Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGopalakrishnan, Ranjithen_US
dc.contributor.authorKorhonen, Laurien_US
dc.contributor.authorMõttus, Mattien_US
dc.contributor.authorRautiainen, Miinaen_US
dc.contributor.authorHovi, Aarneen_US
dc.contributor.authorMehtätalo, Laurien_US
dc.contributor.authorMaltamo, Mattien_US
dc.contributor.authorPeltola, Helien_US
dc.contributor.authorPackalen, Petterien_US
dc.contributor.departmentDepartment of Built Environmenten
dc.contributor.groupauthorGeoinformaticsen
dc.contributor.organizationUniversity of Eastern Finlanden_US
dc.contributor.organizationVTT Technical Research Centre of Finlanden_US
dc.contributor.organizationLuke Natural Resources Institute Finlanden_US
dc.date.accessioned2023-09-13T06:46:16Z
dc.date.available2023-09-13T06:46:16Z
dc.date.issued2023-12en_US
dc.description| openaire: EC/H2020/771049/EU//FREEDLES Funding Information: We acknowledge funding for this work from the Academy of Finland (grant number 317741 for the OPTIMAM project, grant number 337127 for the UNITE flagship , grant number 317387 for the AIROBEST project, grant number 348152 for the ARTISDIG project). A. Hovi and M. Rautiainen received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771049 ). The text reflects only the authors' view, and the Agency is not responsible for any use that may be made of the information it contains. We would also like to thank Dr. Roope Ruotsalainen for sharing his code related to some R/ggplot figures. Publisher Copyright: © 2023
dc.description.abstractThe forest reflectance and transmittance model (FRT) is applicable over a wide swath of boreal forest landscapes mainly because its stand-specific inputs can be generated from standard forest inventory variables. We quantified the accuracy of this model over an extensive region for the first time. This was done by carrying out a simulation study over a large number (12,369) of georeferenced forest plots from operational forest management inventories conducted in Southern Finland. We compared the FRT simulated bidirectional reflectance factors (BRF) with those measured by Landsat 8 satellite Operational Land Imager (OLI). We also quantified the relative importance of several explanatory factors that affected the magnitude of the discrepancy between the measured and simulated BRFs using a linear mixed effects modelling framework. A general trend of FRT overestimating BRFs is seen across all tree species and spectral bands examined: up to ∼0.05 for the red band, and ∼0.10 for the near infrared band. The important explanatory factors associated with the overestimations included the dominant tree species, understory type of the forest plot, timber volume (acts as a proxy for stand maturity), vegetation heterogeneity and time of the year. Our analysis suggests that approximately 20% of the error is caused by the non-representative spectra of canopy foliage and understory. Our results demonstrate the importance of collecting representative spectra from a diverse set of forest stands, and over the full range of seasons.en
dc.description.versionPeer revieweden
dc.format.extent13
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationGopalakrishnan, R, Korhonen, L, Mõttus, M, Rautiainen, M, Hovi, A, Mehtätalo, L, Maltamo, M, Peltola, H & Packalen, P 2023, ' Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database ', Science of Remote Sensing, vol. 8, 100098 . https://doi.org/10.1016/j.srs.2023.100098en
dc.identifier.doi10.1016/j.srs.2023.100098en_US
dc.identifier.issn2666-0172
dc.identifier.otherPURE UUID: 273581ae-fcfa-4998-a3f1-a81b7b16a5c0en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/273581ae-fcfa-4998-a3f1-a81b7b16a5c0en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85169510306&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/121163584/1_s2.0_S2666017223000238_main.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/123456
dc.identifier.urnURN:NBN:fi:aalto-202309135816
dc.language.isoenen
dc.publisherElsevier
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Funding Information: We acknowledge funding for this work from the Academy of Finland (grant number 317741 for the OPTIMAM project, grant number 337127 for the UNITE flagship , grant number 317387 for the AIROBEST project, grant number 348152 for the ARTISDIG project). A. Hovi and M. Rautiainen received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771049 ). The text reflects only the authors' view, and the Agency is not responsible for any use that may be made of the information it contains. We would also like to thank Dr. Roope Ruotsalainen for sharing his code related to some R/ggplot figures. Publisher Copyright: © 2023en_US
dc.relation.ispartofseriesScience of Remote Sensingen
dc.relation.ispartofseriesVolume 8en
dc.rightsopenAccessen
dc.subject.keywordBoreal forestsen_US
dc.subject.keywordLandsaten_US
dc.subject.keywordMixed modelsen_US
dc.subject.keywordModel validationen_US
dc.subject.keywordRadiative transfer modelingen_US
dc.subject.keywordReflectanceen_US
dc.titleEvaluation of a forest radiative transfer model using an extensive boreal forest inventory databaseen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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