Measuring leaf water content using multispectral terrestrial laser scanning

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Junttila, S.
dc.contributor.author Vastaranta, M.
dc.contributor.author Linnakoski, R.
dc.contributor.author Sugano, J.
dc.contributor.author Kaartinen, H.
dc.contributor.author Kukko, A.
dc.contributor.author Holopainen, M.
dc.contributor.author Hyyppä, H.
dc.contributor.author Hyyppä, J.
dc.contributor.editor Honkavaara, E.
dc.contributor.editor Hu, B.
dc.contributor.editor Karantzalos, K.
dc.contributor.editor Liang, X.
dc.contributor.editor Müller, R.
dc.contributor.editor Nocerino, E.
dc.contributor.editor Pölönen, I.
dc.contributor.editor Rönnholm, P.
dc.date.accessioned 2018-02-09T09:54:23Z
dc.date.available 2018-02-09T09:54:23Z
dc.date.issued 2017-10-19
dc.identifier.citation Junttila , S , Vastaranta , M , Linnakoski , R , Sugano , J , Kaartinen , H , Kukko , A , Holopainen , M , Hyyppä , H & Hyyppä , J 2017 , Measuring leaf water content using multispectral terrestrial laser scanning . in E Honkavaara , B Hu , K Karantzalos , X Liang , R Müller , E Nocerino , I Pölönen & P Rönnholm (eds) , Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions, 25-27 October 2017, Jyväskylä, Finland . The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. XLII-3/W3 , ISPRS , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , pp. 81-85 , Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions , Jyväskylä , Finland , 25/10/2017 . DOI: 10.5194/isprs-archives-XLII-3-W3-81-2017 en
dc.identifier.issn 1682-1750
dc.identifier.issn 2194-9034
dc.identifier.other PURE UUID: 23703c98-0da3-4248-b1c3-de6b1cc8f9de
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/measuring-leaf-water-content-using-multispectral-terrestrial-laser-scanning(23703c98-0da3-4248-b1c3-de6b1cc8f9de).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85033705087&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/17030800/isprs_archives_XLII_3_W3_81_2017.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29757
dc.description.abstract Climate change is increasing the amount and intensity of disturbance events, i.e. drought, pest insect outbreaks and fungal pathogens, in forests worldwide. Leaf water content (LWC) is an early indicator of tree stress that can be measured remotely using multispectral terrestrial laser scanning (MS-TLS). LWC affects leaf reflectance in the shortwave infrared spectrum which can be used to predict LWC from spatially explicit MS-TLS intensity data. Here, we investigated the relationship between LWC and MS-TLS intensity features at 690 nm, 905 nm and 1550 nm wavelengths with Norway spruce seedlings in greenhouse conditions. We found that a simple ratio of 905 nm and 1550 nm wavelengths was able to explain 84% of the variation (R2) in LWC with a respective prediction accuracy of 0.0041 g/cm2. Our results showed that MS-TLS can be used to estimate LWC with a reasonable accuracy in environmentally stable conditions. en
dc.format.extent 5
dc.format.extent 81-85
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher ISPRS
dc.relation.ispartof Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions en
dc.relation.ispartofseries Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions, 25-27 October 2017, Jyväskylä, Finland en
dc.relation.ispartofseries The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences en
dc.relation.ispartofseries Volume XLII-3/W3 en
dc.rights openAccess en
dc.subject.other Information Systems en
dc.subject.other Geography, Planning and Development en
dc.subject.other 1171 Geosciences en
dc.title Measuring leaf water content using multispectral terrestrial laser scanning en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department University of Helsinki
dc.contributor.department Finnish Geospatial Research Institute
dc.contributor.department MeMo
dc.contributor.department Department of Built Environment
dc.subject.keyword Drought
dc.subject.keyword Endoconidiophora polonica
dc.subject.keyword Forestry
dc.subject.keyword Leaf water content
dc.subject.keyword Multispectral laser scanning
dc.subject.keyword Terrestrial laser scanning
dc.subject.keyword Tree health
dc.subject.keyword Information Systems
dc.subject.keyword Geography, Planning and Development
dc.subject.keyword 1171 Geosciences
dc.identifier.urn URN:NBN:fi:aalto-201802091253
dc.identifier.doi 10.5194/isprs-archives-XLII-3-W3-81-2017
dc.type.version publishedVersion


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