Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery
The abstract is available here: https://uscholar.univie.ac.at/o:1597265
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MDPI AG
2021
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Online Access: | https://doi.org/10.3390/rs13234780 https://phaidra.univie.ac.at/o:1597265 |
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ftunivwiendc:oai:phaidra.univie.ac.at:o:1597265 2023-05-15T14:35:32+02:00 Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery Willeke A’Campo (Department of Physical Geography, Stockholm University) Annett Bartsch (b.geos) Achim Roth (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Anna Wendleder (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Victoria S. Martin (Centre for Microbiology and Environmental Systems Science, University of Vienna) Luca Durstewitz (Department of Physical Geography, Stockholm University) Rachele Lodi (Institute of Polar Science (ISP-CNR), National Research Council, Italy) Julia Wagner (Department of Physical Geography, Stockholm University) Gustaf Hugelius (Department of Physical Geography, Stockholm University) 2021 application/pdf https://doi.org/10.3390/rs13234780 https://phaidra.univie.ac.at/o:1597265 eng eng MDPI AG hdl:11353/10.1597265 doi:10.3390/rs13234780 https://phaidra.univie.ac.at/o:1597265 http://creativecommons.org/licenses/by/4.0/ © 2021 by the authors CC-BY Remote Sensing issn:2072-4292 Synthetic Aperture Radar (SAR) polarimetry Kennaugh Element Framework (KEF) TerraSAR-X (TSX) Arctic tundra Random Forest (RF) text 2021 ftunivwiendc https://doi.org/10.3390/rs13234780 2022-09-11T23:16:48Z The abstract is available here: https://uscholar.univie.ac.at/o:1597265 Text Arctic Tundra University of Vienna: Phaidra Arctic Remote Sensing 13 23 4780 |
institution |
Open Polar |
collection |
University of Vienna: Phaidra |
op_collection_id |
ftunivwiendc |
language |
English |
topic |
Synthetic Aperture Radar (SAR) polarimetry Kennaugh Element Framework (KEF) TerraSAR-X (TSX) Arctic tundra Random Forest (RF) |
spellingShingle |
Synthetic Aperture Radar (SAR) polarimetry Kennaugh Element Framework (KEF) TerraSAR-X (TSX) Arctic tundra Random Forest (RF) Willeke A’Campo (Department of Physical Geography, Stockholm University) Annett Bartsch (b.geos) Achim Roth (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Anna Wendleder (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Victoria S. Martin (Centre for Microbiology and Environmental Systems Science, University of Vienna) Luca Durstewitz (Department of Physical Geography, Stockholm University) Rachele Lodi (Institute of Polar Science (ISP-CNR), National Research Council, Italy) Julia Wagner (Department of Physical Geography, Stockholm University) Gustaf Hugelius (Department of Physical Geography, Stockholm University) Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
topic_facet |
Synthetic Aperture Radar (SAR) polarimetry Kennaugh Element Framework (KEF) TerraSAR-X (TSX) Arctic tundra Random Forest (RF) |
description |
The abstract is available here: https://uscholar.univie.ac.at/o:1597265 |
format |
Text |
author |
Willeke A’Campo (Department of Physical Geography, Stockholm University) Annett Bartsch (b.geos) Achim Roth (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Anna Wendleder (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Victoria S. Martin (Centre for Microbiology and Environmental Systems Science, University of Vienna) Luca Durstewitz (Department of Physical Geography, Stockholm University) Rachele Lodi (Institute of Polar Science (ISP-CNR), National Research Council, Italy) Julia Wagner (Department of Physical Geography, Stockholm University) Gustaf Hugelius (Department of Physical Geography, Stockholm University) |
author_facet |
Willeke A’Campo (Department of Physical Geography, Stockholm University) Annett Bartsch (b.geos) Achim Roth (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Anna Wendleder (German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)) Victoria S. Martin (Centre for Microbiology and Environmental Systems Science, University of Vienna) Luca Durstewitz (Department of Physical Geography, Stockholm University) Rachele Lodi (Institute of Polar Science (ISP-CNR), National Research Council, Italy) Julia Wagner (Department of Physical Geography, Stockholm University) Gustaf Hugelius (Department of Physical Geography, Stockholm University) |
author_sort |
Willeke A’Campo (Department of Physical Geography, Stockholm University) |
title |
Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
title_short |
Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
title_full |
Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
title_fullStr |
Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
title_full_unstemmed |
Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery |
title_sort |
arctic tundra land cover classification on the beaufort coast using the kennaugh element framework on dual-polarimetric terrasar-x imagery |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13234780 https://phaidra.univie.ac.at/o:1597265 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Remote Sensing issn:2072-4292 |
op_relation |
hdl:11353/10.1597265 doi:10.3390/rs13234780 https://phaidra.univie.ac.at/o:1597265 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ © 2021 by the authors |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs13234780 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
23 |
container_start_page |
4780 |
_version_ |
1766308335672360960 |