Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, RTS dataset [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.894754, In supplement to: Nitze, I et al. (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-07663-3
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Further details:
Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Data Documentation v1.0: Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nitze_etal_2018-DataDocumentation-v1_0.pdf
Project(s):
ESA Data User Element - GlobPermafrost (ESA-DUE-GlobPermafrost)
Permafrost Research (Periglacial Dynamics) @ AWI (AWI_PerDyn)
Funding:
Seventh Framework Programme (FP7), grant/award no. 338335: Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
Coverage:
Median Latitude: 66.510000 * Median Longitude: 133.604000 * South-bound Latitude: 66.230000 * West-bound Longitude: 69.530000 * North-bound Latitude: 66.990000 * East-bound Longitude: -156.240000
Event(s):
Comment:
The RTS datasets contain the perimeters of detected active retrogressive thaw slumps.
Vector format: ESRI Shapefile
Projection: Geographic WGS84 (EPSG:4326)
Vector type: Polygon
The datasets are documented in detail in the linked document (Nitze_etal_2018: Data Documentation v1.0).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Nitze, Ingmar | |||
| 2 | File content | Content | Nitze, Ingmar | |||
| 3 | File name | File name | Nitze, Ingmar | |||
| 4 | File format | File format | Nitze, Ingmar | |||
| 5 | File size | File size | kByte | Nitze, Ingmar | ||
| 6 | Uniform resource locator/link to file | URL file | Nitze, Ingmar |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
15 data points