Measuring leaf water content using multispectral terrestrial laser scanning

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • University of Helsinki
  • Finnish Geospatial Research Institute
  • Luke Natural Resources Institute Finland


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.


Original languageEnglish
Title of host publicationFrontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions, 25-27 October 2017, Jyväskylä, Finland
EditorsE. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, P. Rönnholm
Publication statusPublished - 19 Oct 2017
MoE publication typeA4 Article in a conference publication
EventFrontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions - Jyväskylä, Finland
Duration: 25 Oct 201727 Oct 2017

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN (Print)1682-1750
ISSN (Electronic)2194-9034


ConferenceFrontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions
Abbreviated titleISPRS SPEC3D

    Research areas

  • Drought, Endoconidiophora polonica, Forestry, Leaf water content, Multispectral laser scanning, Terrestrial laser scanning, Tree health

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