Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ...
The dataset contains a high-resolution (5m) land cover classification product for the Komakuk Beach study site located on the Beaufort Coast, Canada. Land cover types were classified using a Random Forest classifier with predictors derived from the Kennaugh elements K0 and K1 of seven dual-polarimet...
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Online Access: | https://dx.doi.org/10.1594/pangaea.937687 https://doi.pangaea.de/10.1594/PANGAEA.937687 |
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ftdatacite:10.1594/pangaea.937687 2024-06-09T07:43:30+00:00 Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... A'Campo, Willeke Bartsch, Annett Roth, Achim Wendleder, Anna Durstewitz, Luca Lodi, Rachele Martin, Victoria S Wagner, Julia Hugelius, Gustaf 2021 application/zip https://dx.doi.org/10.1594/pangaea.937687 https://doi.pangaea.de/10.1594/PANGAEA.937687 en eng PANGAEA https://dx.doi.org/10.3390/rs13234780 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic Beaufort Coast Land cover classification TerraSAR-X Tundra Satellite remote sensing NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation NUNATARYUK Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93768710.3390/rs13234780 2024-05-13T12:44:57Z The dataset contains a high-resolution (5m) land cover classification product for the Komakuk Beach study site located on the Beaufort Coast, Canada. Land cover types were classified using a Random Forest classifier with predictors derived from the Kennaugh elements K0 and K1 of seven dual-polarimetric HH/HV TerraSAR-X images acquired between July and December 2019. Land cover in-situ data were collected in August 2019 and upscaled to image objects (314 to 4766 m2) using segmentation of a WorldView-3 image and ArcticDEM elevation data. The SAR pixel values within these objects were used as reference data for the land cover classification. This dataset was produced to examine the potential of the Kennaugh Element Framework applied on dual-pol SAR data for Arctic tundra land cover classification. ... : TerraSAR-X data were made available by DLR through PI agreement 3645. ... Dataset Arctic permafrost Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic Canada Komakuk Beach ENVELOPE(-140.157,-140.157,69.601,69.601) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Beaufort Coast Land cover classification TerraSAR-X Tundra Satellite remote sensing NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation NUNATARYUK |
spellingShingle |
Arctic Beaufort Coast Land cover classification TerraSAR-X Tundra Satellite remote sensing NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation NUNATARYUK A'Campo, Willeke Bartsch, Annett Roth, Achim Wendleder, Anna Durstewitz, Luca Lodi, Rachele Martin, Victoria S Wagner, Julia Hugelius, Gustaf Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
topic_facet |
Arctic Beaufort Coast Land cover classification TerraSAR-X Tundra Satellite remote sensing NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation NUNATARYUK |
description |
The dataset contains a high-resolution (5m) land cover classification product for the Komakuk Beach study site located on the Beaufort Coast, Canada. Land cover types were classified using a Random Forest classifier with predictors derived from the Kennaugh elements K0 and K1 of seven dual-polarimetric HH/HV TerraSAR-X images acquired between July and December 2019. Land cover in-situ data were collected in August 2019 and upscaled to image objects (314 to 4766 m2) using segmentation of a WorldView-3 image and ArcticDEM elevation data. The SAR pixel values within these objects were used as reference data for the land cover classification. This dataset was produced to examine the potential of the Kennaugh Element Framework applied on dual-pol SAR data for Arctic tundra land cover classification. ... : TerraSAR-X data were made available by DLR through PI agreement 3645. ... |
format |
Dataset |
author |
A'Campo, Willeke Bartsch, Annett Roth, Achim Wendleder, Anna Durstewitz, Luca Lodi, Rachele Martin, Victoria S Wagner, Julia Hugelius, Gustaf |
author_facet |
A'Campo, Willeke Bartsch, Annett Roth, Achim Wendleder, Anna Durstewitz, Luca Lodi, Rachele Martin, Victoria S Wagner, Julia Hugelius, Gustaf |
author_sort |
A'Campo, Willeke |
title |
Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
title_short |
Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
title_full |
Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
title_fullStr |
Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
title_full_unstemmed |
Raster land cover product derived from TerraSAR-X imagery for the Komakuk Beach study site on the Beaufort Coast, Canada ... |
title_sort |
raster land cover product derived from terrasar-x imagery for the komakuk beach study site on the beaufort coast, canada ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.937687 https://doi.pangaea.de/10.1594/PANGAEA.937687 |
long_lat |
ENVELOPE(-140.157,-140.157,69.601,69.601) |
geographic |
Arctic Canada Komakuk Beach |
geographic_facet |
Arctic Canada Komakuk Beach |
genre |
Arctic permafrost Tundra |
genre_facet |
Arctic permafrost Tundra |
op_relation |
https://dx.doi.org/10.3390/rs13234780 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.93768710.3390/rs13234780 |
_version_ |
1801372324178427904 |