Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada
In this work the potential of polarimetric Synthetic Aperture Radar (PolSAR) data of dual-polarized TerraSAR-X (HH/VV) and quad-polarized Radarsat-2 was examined in combination with multispectral Landsat 8 data for unsupervised and supervised classification of tundra land cover types of Richards Isl...
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ftdlr:oai:elib.dlr.de:91723 2023-07-16T03:55:35+02:00 Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada Ullmann, Tobias Schmitt, Andreas Duffe, Jason Dech, Stefan Hubberten, Hans-Wolfgang Baumhauer, Roland 2014-09-11 application/pdf https://elib.dlr.de/91723/ https://elib.dlr.de/91723/1/remotesensing-06-08565.pdf http://www.mdpi.com/2072-4292/6/9/8565 de ger Multidisciplinary Digital Publishing Institute (MDPI) https://elib.dlr.de/91723/1/remotesensing-06-08565.pdf Ullmann, Tobias und Schmitt, Andreas und Duffe, Jason und Dech, Stefan und Hubberten, Hans-Wolfgang und Baumhauer, Roland (2014) Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada. Remote Sensing, 6 (9), Seiten 8565-8593. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs6098565 <https://doi.org/10.3390/rs6098565>. ISSN 2072-4292. Landoberfläche Zeitschriftenbeitrag PeerReviewed 2014 ftdlr https://doi.org/10.3390/rs6098565 2023-06-27T08:28:08Z In this work the potential of polarimetric Synthetic Aperture Radar (PolSAR) data of dual-polarized TerraSAR-X (HH/VV) and quad-polarized Radarsat-2 was examined in combination with multispectral Landsat 8 data for unsupervised and supervised classification of tundra land cover types of Richards Island, Canada. The classification accuracies as well as the backscatter and reflectance characteristics were analyzed using reference data collected during three field work campaigns and include in situ data and high resolution airborne photography. The optical data offered an acceptable initial accuracy for the land cover classification. The overall accuracy was increased by the combination of PolSAR and optical data and was up to 71% for unsupervised (Landsat 8 and TerraSAR-X) and up to 87% for supervised classification (Landsat 8 and Radarsat-2) for five tundra land cover types. The decomposition features of the dual and quad-polarized data showed a high sensitivity for the non-vegetated substrate (dominant surface scattering) and wetland vegetation (dominant double bounce and volume scattering). These classes had high potential to be automatically detected with unsupervised classification techniques. Article in Journal/Newspaper Arctic Arctic Richards Island Tundra German Aerospace Center: elib - DLR electronic library Arctic Canada Remote Sensing 6 9 8565 8593 |
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Open Polar |
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German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
German |
topic |
Landoberfläche |
spellingShingle |
Landoberfläche Ullmann, Tobias Schmitt, Andreas Duffe, Jason Dech, Stefan Hubberten, Hans-Wolfgang Baumhauer, Roland Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
topic_facet |
Landoberfläche |
description |
In this work the potential of polarimetric Synthetic Aperture Radar (PolSAR) data of dual-polarized TerraSAR-X (HH/VV) and quad-polarized Radarsat-2 was examined in combination with multispectral Landsat 8 data for unsupervised and supervised classification of tundra land cover types of Richards Island, Canada. The classification accuracies as well as the backscatter and reflectance characteristics were analyzed using reference data collected during three field work campaigns and include in situ data and high resolution airborne photography. The optical data offered an acceptable initial accuracy for the land cover classification. The overall accuracy was increased by the combination of PolSAR and optical data and was up to 71% for unsupervised (Landsat 8 and TerraSAR-X) and up to 87% for supervised classification (Landsat 8 and Radarsat-2) for five tundra land cover types. The decomposition features of the dual and quad-polarized data showed a high sensitivity for the non-vegetated substrate (dominant surface scattering) and wetland vegetation (dominant double bounce and volume scattering). These classes had high potential to be automatically detected with unsupervised classification techniques. |
format |
Article in Journal/Newspaper |
author |
Ullmann, Tobias Schmitt, Andreas Duffe, Jason Dech, Stefan Hubberten, Hans-Wolfgang Baumhauer, Roland |
author_facet |
Ullmann, Tobias Schmitt, Andreas Duffe, Jason Dech, Stefan Hubberten, Hans-Wolfgang Baumhauer, Roland |
author_sort |
Ullmann, Tobias |
title |
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
title_short |
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
title_full |
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
title_fullStr |
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
title_full_unstemmed |
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada |
title_sort |
land cover characterization and classification of arctic tundra environments by means of polarized synthetic aperture x- and c-band radar (polsar) and landsat 8 multispectral imagery — richards island, canada |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
publishDate |
2014 |
url |
https://elib.dlr.de/91723/ https://elib.dlr.de/91723/1/remotesensing-06-08565.pdf http://www.mdpi.com/2072-4292/6/9/8565 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Arctic Richards Island Tundra |
genre_facet |
Arctic Arctic Richards Island Tundra |
op_relation |
https://elib.dlr.de/91723/1/remotesensing-06-08565.pdf Ullmann, Tobias und Schmitt, Andreas und Duffe, Jason und Dech, Stefan und Hubberten, Hans-Wolfgang und Baumhauer, Roland (2014) Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada. Remote Sensing, 6 (9), Seiten 8565-8593. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs6098565 <https://doi.org/10.3390/rs6098565>. ISSN 2072-4292. |
op_doi |
https://doi.org/10.3390/rs6098565 |
container_title |
Remote Sensing |
container_volume |
6 |
container_issue |
9 |
container_start_page |
8565 |
op_container_end_page |
8593 |
_version_ |
1771541782904963072 |