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Data Publisher for Earth & Environmental Science

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, Datasets [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.894755, 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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Abstract:
Here we quantify the abundance and distribution of three primary permafrost region disturbances (PRD; lakes and their dynamics, wildfires, retrogressive thaw slumps) using trend analysis of 30-m resolution Landsat imagery from 1999-2014 and auxiliary datasets. The dataset spans four continental-scale transects in North America (Alaska, Eastern Canada) and Eurasia (Western Siberia, Eastern Siberia), covering 2.3M km² or ~10% of the permafrost region. This data publication contains geospatial vector files (polygons) of the perimeters of PRD.
The data are subdivided by PRD type (lakes, wildfire, retrogressive thaw slumps) and further subdivided by study region (T1_WS, T2_ES, T3_AK, T4_EC).
T1_WS: Western SIberia
T2_ES: Eastern Siberia
T3_AK: Alaska
T4_EC: Eastern Canada
The datasets are documented in detail in the linked document (Nitze_etal_2018: Data Documentation v1.0).
Keyword(s):
Cryosphere
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
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: 63.659000 * Median Longitude: 164.944067 * South-bound Latitude: 56.980000 * West-bound Longitude: 69.530000 * North-bound Latitude: 66.990000 * East-bound Longitude: -76.510000
Comment:
Vector format: ESRI Shapefile
Projection: Geographic WGS84 (EPSG:4326)
Vector type: Polygon
Size:
3 datasets

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