High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ...
An object-based approach was used to generate a detailed land cover classification covering the Stordalen area near Abisko, northern Sweden. First, an orthophoto was combined with the DEM resampled to 1 m spatial resolution. A segmentation layer was generated by grouping pixels into homogeneous area...
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ftdatacite:10.1594/pangaea.886298 2024-09-15T17:34:23+00:00 High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... Siewert, Matthias Benjamin 2018 application/zip https://dx.doi.org/10.1594/pangaea.886298 https://doi.pangaea.de/10.1594/PANGAEA.886298 en eng PANGAEA https://dx.doi.org/10.5194/bg-15-1663-2018 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 dataset Dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.88629810.5194/bg-15-1663-2018 2024-08-01T10:58:30Z An object-based approach was used to generate a detailed land cover classification covering the Stordalen area near Abisko, northern Sweden. First, an orthophoto was combined with the DEM resampled to 1 m spatial resolution. A segmentation layer was generated by grouping pixels into homogeneous areas with a minimum region size of 130 m². From this a water mask was classified using the red band of the orthophoto and a slope layer. A land cover training set was created by combining field survey information with visual interpretation of the orthophoto and topography. The following layers were used as input for the classification algorithm: an orthophoto, elevation and slope; a SPOT5 4-band satellite image, and NDVI, SAVI and NIR/SWIR as SPOT5 derivatives. The segments were then classified using a support vector machine algorithm. Artificial surfaces were hand digitized and masked out. The individual thematic classes are described in TableA1.The quality of the classification was assessed using a set of 108 ... Dataset Abisko Northern Sweden permafrost DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 |
spellingShingle |
Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 Siewert, Matthias Benjamin High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
topic_facet |
Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 |
description |
An object-based approach was used to generate a detailed land cover classification covering the Stordalen area near Abisko, northern Sweden. First, an orthophoto was combined with the DEM resampled to 1 m spatial resolution. A segmentation layer was generated by grouping pixels into homogeneous areas with a minimum region size of 130 m². From this a water mask was classified using the red band of the orthophoto and a slope layer. A land cover training set was created by combining field survey information with visual interpretation of the orthophoto and topography. The following layers were used as input for the classification algorithm: an orthophoto, elevation and slope; a SPOT5 4-band satellite image, and NDVI, SAVI and NIR/SWIR as SPOT5 derivatives. The segments were then classified using a support vector machine algorithm. Artificial surfaces were hand digitized and masked out. The individual thematic classes are described in TableA1.The quality of the classification was assessed using a set of 108 ... |
format |
Dataset |
author |
Siewert, Matthias Benjamin |
author_facet |
Siewert, Matthias Benjamin |
author_sort |
Siewert, Matthias Benjamin |
title |
High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
title_short |
High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
title_full |
High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
title_fullStr |
High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
title_full_unstemmed |
High-resolution land cover classification for Stordalen, Abisko region, northern Sweden ... |
title_sort |
high-resolution land cover classification for stordalen, abisko region, northern sweden ... |
publisher |
PANGAEA |
publishDate |
2018 |
url |
https://dx.doi.org/10.1594/pangaea.886298 https://doi.pangaea.de/10.1594/PANGAEA.886298 |
genre |
Abisko Northern Sweden permafrost |
genre_facet |
Abisko Northern Sweden permafrost |
op_relation |
https://dx.doi.org/10.5194/bg-15-1663-2018 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.88629810.5194/bg-15-1663-2018 |
_version_ |
1810445684178944000 |