Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau)
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| Main Authors: | , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2019
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| _version_ | 1867171016309997568 |
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| author | Huang, Lingcao Luo, Jing Lin, Zhanju Niu, Fujun Liu, Lin |
| author_facet | Huang, Lingcao Luo, Jing Lin, Zhanju Niu, Fujun Liu, Lin |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The shapefile contains 354 polygons which are boundaries of retrogressive thaw slumps (RTSs) and other land covers (non-RTS) in Beiluhe on the Tibetan Plateau for training a deep learning algorithm (DeepLabv3+). Among them, 264 are RTS boundaries delineated on Planet images acquired in May 2018, 90 of them are non-RTS polygons. In the attribute table of the shapefile, "class_int" equal to "1" means an RTS polygon and "0" for a non-RTS polygon. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_908909 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) Huang, Lingcao Luo, Jing Lin, Zhanju Niu, Fujun Liu, Lin Beiluhe_area; deep learning; Permafrost; Retrogressive Thaw Slumps; Tibetan Plateau The shapefile contains 354 polygons which are boundaries of retrogressive thaw slumps (RTSs) and other land covers (non-RTS) in Beiluhe on the Tibetan Plateau for training a deep learning algorithm (DeepLabv3+). Among them, 264 are RTS boundaries delineated on Planet images acquired in May 2018, 90 of them are non-RTS polygons. In the attribute table of the shapefile, "class_int" equal to "1" means an RTS polygon and "0" for a non-RTS polygon. |
| title | Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) |
| topic | Beiluhe_area; deep learning; Permafrost; Retrogressive Thaw Slumps; Tibetan Plateau |
| url | https://doi.org/10.1594/PANGAEA.908909 |