MEASURING LEAF WATER CONTENT USING MULTISPECTRAL TERRESTRIAL LASER SCANNING

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http://hdl.handle.net/10138/233008

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Junttila , O S , Vastaranta , M A , Linnakoski , R M , Sugano , J , Kaartinen , H , Kukko , A , Holopainen , M E , 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) , International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions . vol. Volume XLII-3/W3 , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. Volume XLII-3/W3 , Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions , Jyväskylä , Finland , 25/10/2017 . https://doi.org/10.5194/isprs-archives-XLII-3-W3-81-2017

Title: MEASURING LEAF WATER CONTENT USING MULTISPECTRAL TERRESTRIAL LASER SCANNING
Author: Junttila, Oula Samuli; Vastaranta, Mikko Antero; Linnakoski, Riikka Marjaana; Sugano, Junko; Kaartinen, Harri; Kukko, Antero; Holopainen, Markus Edvard; Hyyppä, Hannu; Hyyppä, Juha
Editor: Honkavaara, E; Hu, B; Karantzalos, K; Liang, X; Müller, R; Nocerino, E; Pölönen, I; Rönnholm, P
Contributor: University of Helsinki, Department of Forest Sciences
University of Helsinki, Department of Forest Sciences
University of Helsinki, Department of Forest Sciences
University of Helsinki, Department of Food and Nutrition
University of Helsinki, Department of Forest Sciences
Date: 2017-10-19
Language: eng
Number of pages: 5
Belongs to series: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
Belongs to series: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
URI: http://hdl.handle.net/10138/233008
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.
Subject: 4112 Forestry
Remote Sensing
forest health
Laser scanning
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