Training Polygon Shapefile
URL: https://github.com/initze/DL_RTS_Paper/raw/main/data/GT_Set_Nitze_etal_2021_TrainingSet_RTS.zip
Dataset description:
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are becoming more abundant and dynamic, with serious implications for permafrost stability...
Source: Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps (CA, RU)
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Additional Information
| Field | Value |
|---|---|
| Data last updated | unknown |
| Metadata last updated | March 30, 2022 |
| Created | unknown |
| Format | SHP |
| License | Creative Commons Attribution 4.0 |
| Created | 3 years ago |
| Media type | application/zip |
| Id | cd1c672c-af44-45ac-8726-2d1d4a5a4b3b |
| Package id | b21faa71-88a3-4097-9153-2b665cd2c995 |
| State | active |
Attention! The specified license is that of the dataset. Licenses from other sources, e.g. publications or figures related to the dataset, may be subject to other licenses.