Editorial for Special Issue “Optical Remote Sensing of Boreal Forests”
Boreal forests (or taiga) are the world’s largest terrestrial biome and represent one third of the world’s forest cover. [.]
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Online Access: | https://doi.org/10.3390/rs10111766 |
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ftmdpi:oai:mdpi.com:/2072-4292/10/11/1766/ 2023-08-20T04:10:05+02:00 Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” Miina Rautiainen Jan Pisek 2018-11-08 application/pdf https://doi.org/10.3390/rs10111766 EN eng Multidisciplinary Digital Publishing Institute Forest Remote Sensing https://dx.doi.org/10.3390/rs10111766 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 11; Pages: 1766 n/a Text 2018 ftmdpi https://doi.org/10.3390/rs10111766 2023-07-31T21:49:49Z Boreal forests (or taiga) are the world’s largest terrestrial biome and represent one third of the world’s forest cover. [.] Text taiga MDPI Open Access Publishing Remote Sensing 10 11 1766 |
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Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
n/a |
spellingShingle |
n/a Miina Rautiainen Jan Pisek Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
topic_facet |
n/a |
description |
Boreal forests (or taiga) are the world’s largest terrestrial biome and represent one third of the world’s forest cover. [.] |
format |
Text |
author |
Miina Rautiainen Jan Pisek |
author_facet |
Miina Rautiainen Jan Pisek |
author_sort |
Miina Rautiainen |
title |
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
title_short |
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
title_full |
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
title_fullStr |
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
title_full_unstemmed |
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests” |
title_sort |
editorial for special issue “optical remote sensing of boreal forests” |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10111766 |
genre |
taiga |
genre_facet |
taiga |
op_source |
Remote Sensing; Volume 10; Issue 11; Pages: 1766 |
op_relation |
Forest Remote Sensing https://dx.doi.org/10.3390/rs10111766 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs10111766 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
11 |
container_start_page |
1766 |
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1774724020059504640 |