MEASURING LEAF WATER CONTENT USING MULTISPECTRAL TERRESTRIAL LASER SCANNING

Oula Samuli Junttila, Mikko Antero Vastaranta, Riikka Marjaana Linnakoski, Junko Sugano, Harri Kaartinen, Antero Kukko, Markus Edvard Holopainen, Hannu Hyyppä, Juha Hyyppä

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på gästpublikationInternational Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
RedaktörerE Honkavaara, B Hu, K Karantzalos, X Liang, R Müller, E Nocerino, I Pölönen, P Rönnholm
Antal sidor5
VolymVolume XLII-3/W3
Utgivningsdatum19 okt 2017
DOI
StatusPublicerad - 19 okt 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions - Jyväskylä, Finland
Varaktighet: 25 okt 201727 okt 2017

Publikationsserier

Namn International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
FörlagISPRS
VolymVolume XLII-3/W3
ISSN (elektroniskt)2194-9034

Vetenskapsgrenar

  • 4112 Skogsvetenskap

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