Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Junttila, Samuli, Sugano, Junko, Vastaranta, Mikko, Linnakoski, Riikka, Kaartinen, Harri, Kukko, Antero, Holopainen, Markus, Hyyppä, Hannu, Hyyppä, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853165/
https://www.ncbi.nlm.nih.gov/pubmed/29568306
http://dx.doi.org/10.3389/fpls.2018.00299
_version_ 1783306714988150784
author Junttila, Samuli
Sugano, Junko
Vastaranta, Mikko
Linnakoski, Riikka
Kaartinen, Harri
Kukko, Antero
Holopainen, Markus
Hyyppä, Hannu
Hyyppä, Juha
author_facet Junttila, Samuli
Sugano, Junko
Vastaranta, Mikko
Linnakoski, Riikka
Kaartinen, Harri
Kukko, Antero
Holopainen, Markus
Hyyppä, Hannu
Hyyppä, Juha
author_sort Junttila, Samuli
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5853165
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-58531652018-03-22 Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings Junttila, Samuli Sugano, Junko Vastaranta, Mikko Linnakoski, Riikka Kaartinen, Harri Kukko, Antero Holopainen, Markus Hyyppä, Hannu Hyyppä, Juha Front Plant Sci Plant Science 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. Frontiers Media S.A. 2018-03-08 /pmc/articles/PMC5853165/ /pubmed/29568306 http://dx.doi.org/10.3389/fpls.2018.00299 Text en Copyright © 2018 Junttila, Sugano, Vastaranta, Linnakoski, Kaartinen, Kukko, Holopainen, Hyyppä and Hyyppä. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Junttila, Samuli
Sugano, Junko
Vastaranta, Mikko
Linnakoski, Riikka
Kaartinen, Harri
Kukko, Antero
Holopainen, Markus
Hyyppä, Hannu
Hyyppä, Juha
Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title_full Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title_fullStr Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title_full_unstemmed Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title_short Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
title_sort can leaf water content be estimated using multispectral terrestrial laser scanning? a case study with norway spruce seedlings
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853165/
https://www.ncbi.nlm.nih.gov/pubmed/29568306
http://dx.doi.org/10.3389/fpls.2018.00299
work_keys_str_mv AT junttilasamuli canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT suganojunko canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT vastarantamikko canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT linnakoskiriikka canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT kaartinenharri canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT kukkoantero canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT holopainenmarkus canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT hyyppahannu canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings
AT hyyppajuha canleafwatercontentbeestimatedusingmultispectralterrestriallaserscanningacasestudywithnorwayspruceseedlings