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spelling 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
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