A spectral analysis of common boreal ground lichen species
Lichens dominate a significant part of the Earth's land surface, and are valuable bioindicators of various environmental changes. In the northern hemisphere, the largest lichen biomass is in the woodlands and heathlands of the boreal zone and in tundra. Despite the global coverage of lichens, t...
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ftpubmed:oai:pubmedcentral.nih.gov:7371186 2023-05-15T18:40:37+02:00 A spectral analysis of common boreal ground lichen species Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina 2020-09-15 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371186/ https://doi.org/10.1016/j.rse.2020.111955 en eng American Elsevier Pub. Co http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371186/ http://dx.doi.org/10.1016/j.rse.2020.111955 © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). CC-BY-NC-ND Remote Sens Environ Article Text 2020 ftpubmed https://doi.org/10.1016/j.rse.2020.111955 2020-09-20T00:16:47Z Lichens dominate a significant part of the Earth's land surface, and are valuable bioindicators of various environmental changes. In the northern hemisphere, the largest lichen biomass is in the woodlands and heathlands of the boreal zone and in tundra. Despite the global coverage of lichens, there has been only limited research on their spectral properties in the context of remote sensing of the environment. In this paper, we report spectral properties of 12 common boreal lichen species. Measurements of reflectance spectra were made in laboratory conditions with a standard spectrometer (350–2500 nm) and a novel mobile hyperspectral camera (400–1000 nm) which was used in a multiangular setting. Our results show that interspecific differences in reflectance spectra were the most pronounced in the ultraviolet and visible spectral range, and that dry samples always had higher reflectance than fresh (moist) samples in the shortwave infrared region. All study species had higher reflectance in the backward scattering direction compared to nadir or forward scattering directions. Our results also reveal, for the first time, that there is large intraspecific variation in reflectance of lichen species. This emphasizes the importance of measuring several replicates of each species when analyzing lichen spectra. In addition, we used the data in a spectral clustering analysis to study the spectral similarity between samples and species, and how these similarities could be linked to different physical traits or phylogenetic closeness of the species. Overall, our results suggest that spectra of some lichen species with large ground coverage can be used for species identification from high spatial resolution remote sensing imagery. On the other hand, for lichen species growing as small assemblages, mobile hyperspectral cameras may offer a solution for in-situ species identification. The spectral library collected in this study is available in the SPECCHIO Spectral Information System. Text Tundra PubMed Central (PMC) Remote Sensing of Environment 247 111955 |
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Article Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina A spectral analysis of common boreal ground lichen species |
topic_facet |
Article |
description |
Lichens dominate a significant part of the Earth's land surface, and are valuable bioindicators of various environmental changes. In the northern hemisphere, the largest lichen biomass is in the woodlands and heathlands of the boreal zone and in tundra. Despite the global coverage of lichens, there has been only limited research on their spectral properties in the context of remote sensing of the environment. In this paper, we report spectral properties of 12 common boreal lichen species. Measurements of reflectance spectra were made in laboratory conditions with a standard spectrometer (350–2500 nm) and a novel mobile hyperspectral camera (400–1000 nm) which was used in a multiangular setting. Our results show that interspecific differences in reflectance spectra were the most pronounced in the ultraviolet and visible spectral range, and that dry samples always had higher reflectance than fresh (moist) samples in the shortwave infrared region. All study species had higher reflectance in the backward scattering direction compared to nadir or forward scattering directions. Our results also reveal, for the first time, that there is large intraspecific variation in reflectance of lichen species. This emphasizes the importance of measuring several replicates of each species when analyzing lichen spectra. In addition, we used the data in a spectral clustering analysis to study the spectral similarity between samples and species, and how these similarities could be linked to different physical traits or phylogenetic closeness of the species. Overall, our results suggest that spectra of some lichen species with large ground coverage can be used for species identification from high spatial resolution remote sensing imagery. On the other hand, for lichen species growing as small assemblages, mobile hyperspectral cameras may offer a solution for in-situ species identification. The spectral library collected in this study is available in the SPECCHIO Spectral Information System. |
format |
Text |
author |
Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina |
author_facet |
Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina |
author_sort |
Kuusinen, Nea |
title |
A spectral analysis of common boreal ground lichen species |
title_short |
A spectral analysis of common boreal ground lichen species |
title_full |
A spectral analysis of common boreal ground lichen species |
title_fullStr |
A spectral analysis of common boreal ground lichen species |
title_full_unstemmed |
A spectral analysis of common boreal ground lichen species |
title_sort |
spectral analysis of common boreal ground lichen species |
publisher |
American Elsevier Pub. Co |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371186/ https://doi.org/10.1016/j.rse.2020.111955 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Remote Sens Environ |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371186/ http://dx.doi.org/10.1016/j.rse.2020.111955 |
op_rights |
© 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.rse.2020.111955 |
container_title |
Remote Sensing of Environment |
container_volume |
247 |
container_start_page |
111955 |
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1766230015904579584 |