A spectral analysis of common boreal ground lichen species
| openaire: EC/H2020/771049/EU//FREEDLES 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....
Published in: | Remote Sensing of Environment |
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Online Access: | https://aaltodoc.aalto.fi/handle/123456789/45299 https://doi.org/10.1016/j.rse.2020.111955 |
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ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/45299 2023-05-15T18:40:41+02:00 A spectral analysis of common boreal ground lichen species Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina Department of Built Environment University of Helsinki Department of Electronics and Nanoengineering Aalto-yliopisto Aalto University 2020-09-15 application/pdf https://aaltodoc.aalto.fi/handle/123456789/45299 https://doi.org/10.1016/j.rse.2020.111955 en eng ELSEVIER SCIENCE INC info:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Remote Sensing of Environment Volume 247 Kuusinen , N , Juola , J , Karki , B , Stenroos , S & Rautiainen , M 2020 , ' A spectral analysis of common boreal ground lichen species ' , Remote Sensing of Environment , vol. 247 , 111955 . https://doi.org/10.1016/j.rse.2020.111955 0034-4257 PURE UUID: 010ca8b2-b4c5-463e-a814-0b20d9a730c2 PURE ITEMURL: https://research.aalto.fi/en/publications/010ca8b2-b4c5-463e-a814-0b20d9a730c2 PURE FILEURL: https://research.aalto.fi/files/43830970/1_s2.0_S0034425720303254_main.pdf https://aaltodoc.aalto.fi/handle/123456789/45299 URN:NBN:fi:aalto-202007034256 doi:10.1016/j.rse.2020.111955 openAccess Cetraria Cladonia Hyperspectral Multiangular Reflectance spectra Stereocaulon A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä publishedVersion 2020 ftaaltouniv https://doi.org/10.1016/j.rse.2020.111955 2023-01-25T23:57:42Z | openaire: EC/H2020/771049/EU//FREEDLES 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. ... Article in Journal/Newspaper Tundra Aalto University Publication Archive (Aaltodoc) Remote Sensing of Environment 247 111955 |
institution |
Open Polar |
collection |
Aalto University Publication Archive (Aaltodoc) |
op_collection_id |
ftaaltouniv |
language |
English |
topic |
Cetraria Cladonia Hyperspectral Multiangular Reflectance spectra Stereocaulon |
spellingShingle |
Cetraria Cladonia Hyperspectral Multiangular Reflectance spectra Stereocaulon Kuusinen, Nea Juola, Jussi Karki, Bijay Stenroos, Soili Rautiainen, Miina A spectral analysis of common boreal ground lichen species |
topic_facet |
Cetraria Cladonia Hyperspectral Multiangular Reflectance spectra Stereocaulon |
description |
| openaire: EC/H2020/771049/EU//FREEDLES 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. ... |
author2 |
Department of Built Environment University of Helsinki Department of Electronics and Nanoengineering Aalto-yliopisto Aalto University |
format |
Article in Journal/Newspaper |
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 |
ELSEVIER SCIENCE INC |
publishDate |
2020 |
url |
https://aaltodoc.aalto.fi/handle/123456789/45299 https://doi.org/10.1016/j.rse.2020.111955 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Remote Sensing of Environment Volume 247 Kuusinen , N , Juola , J , Karki , B , Stenroos , S & Rautiainen , M 2020 , ' A spectral analysis of common boreal ground lichen species ' , Remote Sensing of Environment , vol. 247 , 111955 . https://doi.org/10.1016/j.rse.2020.111955 0034-4257 PURE UUID: 010ca8b2-b4c5-463e-a814-0b20d9a730c2 PURE ITEMURL: https://research.aalto.fi/en/publications/010ca8b2-b4c5-463e-a814-0b20d9a730c2 PURE FILEURL: https://research.aalto.fi/files/43830970/1_s2.0_S0034425720303254_main.pdf https://aaltodoc.aalto.fi/handle/123456789/45299 URN:NBN:fi:aalto-202007034256 doi:10.1016/j.rse.2020.111955 |
op_rights |
openAccess |
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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1766230087055704064 |