Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings

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dc.contributor.author Junttila, Samuli
dc.contributor.author Sugano, Junko
dc.contributor.author Vastaranta, Mikko
dc.contributor.author Linnakoski, Riikka
dc.contributor.author Kaartinen, Harri
dc.contributor.author Kukko, Antero
dc.contributor.author Holopainen, Markus
dc.contributor.author Hyyppa, Hannu
dc.contributor.author Hyyppa, Juha
dc.date.accessioned 2018-03-29T10:53:01Z
dc.date.available 2018-03-29T10:53:01Z
dc.date.issued 2018-03-08
dc.identifier.citation Junttila , S , Sugano , J , Vastaranta , M , Linnakoski , R , Kaartinen , H , Kukko , A , Holopainen , M , Hyyppa , H & Hyyppa , J 2018 , ' Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings ' , Frontiers in plant science , vol. 9 , 299 . https://doi.org/10.3389/fpls.2018.00299
dc.identifier.other PURE: 102379213
dc.identifier.other PURE UUID: 9a4e3cf9-5206-4c4a-a27c-81c3819f833c
dc.identifier.other WOS: 000426833700001
dc.identifier.other Scopus: 85045447312
dc.identifier.other ORCID: /0000-0002-7678-867X/work/43229584
dc.identifier.other ORCID: /0000-0001-6552-9122/work/43226657
dc.identifier.other ORCID: /0000-0001-8276-9259/work/52864714
dc.identifier.uri http://hdl.handle.net/10138/233845
dc.description.abstract Changing climate is increasing the amount and intensity of forest stress agents, such as drought, pest insects, and pathogens. Leaf water content, measured here in terms of equivalent water thickness (EWT), is an early indicator of tree stress that provides timely information about the health status of forests. Multispectral terrestrial laser scanning (MS-TLS) measures target geometry and reflectance simultaneously, providing spatially explicit reflectance information at several wavelengths. EWT and leaf internal structure affect leaf reflectance in the shortwave infrared region that can be used to predict EWT with MS-TLS. A second wavelength that is sensitive to leaf internal structure but not affected by EWT can be used to normalize leaf internal effects on the shortwave infrared region and improve the prediction of EWT. Here we investigated the relationship between EWT and laser intensity features using multisensor MS-TLS at 690, 905, and 1,550 nm wavelengths with both drought-treated and Endoconidiophora polonica inoculated Norway spruce seedlings to better understand how MS-TLS measurements can explain variation in EWT. In our study, a normalized ratio of two wavelengths at 905 and 1,550 nm and length of seedling explained 91% of the variation (R-2) in EWT as the respective prediction accuracy for EWT was 0.003 g/cm(2) in greenhouse conditions. The relation between EWT and the normalized ratio of 905 and 1,550 nm wavelengths did not seem sensitive to a decreased point density of the MS-TLS data. Based on our results, different EWTs in Norway spruce seedlings show different spectral responses when measured using MS-TLS. These results can be further used when developing EWT monitoring for improving forest health assessments. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Frontiers in plant science
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject terrestrial laser scanning
dc.subject tree health
dc.subject drought stress
dc.subject multispectral laser scanning
dc.subject leaf water content
dc.subject forest damage
dc.subject Endoconidiophora polonica
dc.subject INDUCED TREE MORTALITY
dc.subject FUEL MOISTURE-CONTENT
dc.subject RED-ATTACK DAMAGE
dc.subject LIDAR DATA
dc.subject SURFACE-TEMPERATURE
dc.subject FOREST HEALTH
dc.subject PLANT STRESS
dc.subject VEGETATION
dc.subject REFLECTANCE
dc.subject INTENSITY
dc.subject 4112 Forestry
dc.title Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings en
dc.type Article
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization Laboratory of Forest Resources Management and Geo-information Science
dc.contributor.organization Forest Health Group
dc.contributor.organization Forest Ecology and Management
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.3389/fpls.2018.00299
dc.relation.issn 1664-462X
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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