Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ...
This dataset contains manually-delineated calving front positions at Jakobshavn Isbræ, Kangerlussuaq, Helheim, covering from 2003 to 2019. These manually-delineated calving fronts are for training, validating, and testing our deep learning network. The format of this dataset is Shapefile. ...
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| Format: | Dataset |
| Language: | English |
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PANGAEA
2020
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.1594/pangaea.923270 https://doi.pangaea.de/10.1594/PANGAEA.923270 |
| id |
ftdatacite:10.1594/pangaea.923270 |
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| record_format |
openpolar |
| spelling |
ftdatacite:10.1594/pangaea.923270 2024-10-29T17:43:56+00:00 Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... Zhang, Enze Liu, Lin Huang, Lingcao Ng, Ka Shing 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.923270 https://doi.pangaea.de/10.1594/PANGAEA.923270 en eng PANGAEA https://dx.doi.org/10.1016/j.rse.2020.112265 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 calving front deep learning glacier Greenland Event label Binary Object Multiple investigations Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.92327010.1016/j.rse.2020.112265 2024-10-01T11:00:35Z This dataset contains manually-delineated calving front positions at Jakobshavn Isbræ, Kangerlussuaq, Helheim, covering from 2003 to 2019. These manually-delineated calving fronts are for training, validating, and testing our deep learning network. The format of this dataset is Shapefile. ... Dataset glacier Greenland Jakobshavn Jakobshavn isbræ Kangerlussuaq DataCite Greenland Jakobshavn Isbræ ENVELOPE(-49.917,-49.917,69.167,69.167) Kangerlussuaq ENVELOPE(-55.633,-55.633,72.633,72.633) |
| institution |
Open Polar |
| collection |
DataCite |
| op_collection_id |
ftdatacite |
| language |
English |
| topic |
calving front deep learning glacier Greenland Event label Binary Object Multiple investigations |
| spellingShingle |
calving front deep learning glacier Greenland Event label Binary Object Multiple investigations Zhang, Enze Liu, Lin Huang, Lingcao Ng, Ka Shing Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| topic_facet |
calving front deep learning glacier Greenland Event label Binary Object Multiple investigations |
| description |
This dataset contains manually-delineated calving front positions at Jakobshavn Isbræ, Kangerlussuaq, Helheim, covering from 2003 to 2019. These manually-delineated calving fronts are for training, validating, and testing our deep learning network. The format of this dataset is Shapefile. ... |
| format |
Dataset |
| author |
Zhang, Enze Liu, Lin Huang, Lingcao Ng, Ka Shing |
| author_facet |
Zhang, Enze Liu, Lin Huang, Lingcao Ng, Ka Shing |
| author_sort |
Zhang, Enze |
| title |
Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| title_short |
Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| title_full |
Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| title_fullStr |
Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| title_full_unstemmed |
Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim ... |
| title_sort |
manually delineated calving fronts at jakobshavn isbræ, kangerlussuaq, and helheim ... |
| publisher |
PANGAEA |
| publishDate |
2020 |
| url |
https://dx.doi.org/10.1594/pangaea.923270 https://doi.pangaea.de/10.1594/PANGAEA.923270 |
| long_lat |
ENVELOPE(-49.917,-49.917,69.167,69.167) ENVELOPE(-55.633,-55.633,72.633,72.633) |
| geographic |
Greenland Jakobshavn Isbræ Kangerlussuaq |
| geographic_facet |
Greenland Jakobshavn Isbræ Kangerlussuaq |
| genre |
glacier Greenland Jakobshavn Jakobshavn isbræ Kangerlussuaq |
| genre_facet |
glacier Greenland Jakobshavn Jakobshavn isbræ Kangerlussuaq |
| op_relation |
https://dx.doi.org/10.1016/j.rse.2020.112265 |
| 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.92327010.1016/j.rse.2020.112265 |
| _version_ |
1814273153868759040 |