Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation
Peer reviewed
Published in: | Journal of Vegetation Science |
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Main Authors: | , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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John Wiley & Sons, Ltd (10.1111)
2020
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Online Access: | http://hdl.handle.net/10138/317798 |
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/317798 2024-01-07T09:47:06+01:00 Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation Räsänen, Aleksi Juutinen, Sari Tuittila, Eeva-Stiina Aurela, Mika Virtanen, Tarmo Ecosystems and Environment Research Programme Helsinki Institute of Urban and Regional Studies (Urbaria) Helsinki Institute of Sustainability Science (HELSUS) Urban Environmental Policy Environmental Change Research Unit (ECRU) Tarmo Virtanen / Principal Investigator 2020-07-17T22:22:45Z 11 application/pdf http://hdl.handle.net/10138/317798 eng eng John Wiley & Sons, Ltd (10.1111) 10.1111/jvs.12769 Räsänen , A , Juutinen , S , Tuittila , E-S , Aurela , M & Virtanen , T 2019 , ' Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation ' , Journal of Vegetation Science , vol. 30 , no. 5 , pp. 1016-1026 . https://doi.org/10.1111/jvs.12769 ORCID: /0000-0002-3629-1837/work/63683651 ORCID: /0000-0001-8660-2464/work/105284754 e5e554d5-64f9-4ccb-b37b-92c98a7be7fe http://hdl.handle.net/10138/317798 000477361800001 openAccess info:eu-repo/semantics/openAccess CLASSIFICATION COMMUNITIES IMAGERY IMPACT LAND-COVER ORDINATION PLANT FUNCTIONAL TYPES SHAPE SOIL TUNDRA digital elevation model drone floristic analysis fuzzy northern boreal object-based image analysis plant community unmanned aerial system (UAS) unmanned aerial vehicle (UAV) very-high spatial resolution satellite imagery 1183 Plant biology microbiology virology Article acceptedVersion 2020 ftunivhelsihelda 2023-12-14T00:02:54Z Peer reviewed Article in Journal/Newspaper Tundra HELDA – University of Helsinki Open Repository Journal of Vegetation Science 30 5 1016 1026 |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
CLASSIFICATION COMMUNITIES IMAGERY IMPACT LAND-COVER ORDINATION PLANT FUNCTIONAL TYPES SHAPE SOIL TUNDRA digital elevation model drone floristic analysis fuzzy northern boreal object-based image analysis plant community unmanned aerial system (UAS) unmanned aerial vehicle (UAV) very-high spatial resolution satellite imagery 1183 Plant biology microbiology virology |
spellingShingle |
CLASSIFICATION COMMUNITIES IMAGERY IMPACT LAND-COVER ORDINATION PLANT FUNCTIONAL TYPES SHAPE SOIL TUNDRA digital elevation model drone floristic analysis fuzzy northern boreal object-based image analysis plant community unmanned aerial system (UAS) unmanned aerial vehicle (UAV) very-high spatial resolution satellite imagery 1183 Plant biology microbiology virology Räsänen, Aleksi Juutinen, Sari Tuittila, Eeva-Stiina Aurela, Mika Virtanen, Tarmo Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
topic_facet |
CLASSIFICATION COMMUNITIES IMAGERY IMPACT LAND-COVER ORDINATION PLANT FUNCTIONAL TYPES SHAPE SOIL TUNDRA digital elevation model drone floristic analysis fuzzy northern boreal object-based image analysis plant community unmanned aerial system (UAS) unmanned aerial vehicle (UAV) very-high spatial resolution satellite imagery 1183 Plant biology microbiology virology |
description |
Peer reviewed |
author2 |
Ecosystems and Environment Research Programme Helsinki Institute of Urban and Regional Studies (Urbaria) Helsinki Institute of Sustainability Science (HELSUS) Urban Environmental Policy Environmental Change Research Unit (ECRU) Tarmo Virtanen / Principal Investigator |
format |
Article in Journal/Newspaper |
author |
Räsänen, Aleksi Juutinen, Sari Tuittila, Eeva-Stiina Aurela, Mika Virtanen, Tarmo |
author_facet |
Räsänen, Aleksi Juutinen, Sari Tuittila, Eeva-Stiina Aurela, Mika Virtanen, Tarmo |
author_sort |
Räsänen, Aleksi |
title |
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
title_short |
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
title_full |
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
title_fullStr |
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
title_full_unstemmed |
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
title_sort |
comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation |
publisher |
John Wiley & Sons, Ltd (10.1111) |
publishDate |
2020 |
url |
http://hdl.handle.net/10138/317798 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
10.1111/jvs.12769 Räsänen , A , Juutinen , S , Tuittila , E-S , Aurela , M & Virtanen , T 2019 , ' Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation ' , Journal of Vegetation Science , vol. 30 , no. 5 , pp. 1016-1026 . https://doi.org/10.1111/jvs.12769 ORCID: /0000-0002-3629-1837/work/63683651 ORCID: /0000-0001-8660-2464/work/105284754 e5e554d5-64f9-4ccb-b37b-92c98a7be7fe http://hdl.handle.net/10138/317798 000477361800001 |
op_rights |
openAccess info:eu-repo/semantics/openAccess |
container_title |
Journal of Vegetation Science |
container_volume |
30 |
container_issue |
5 |
container_start_page |
1016 |
op_container_end_page |
1026 |
_version_ |
1787429078637215744 |