Remote sensing-based permafrost region disturbances: retrogressive thaw slumps, 1999-2014, Eastern Siberia (RU)

Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia

The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of retrogressive thaw slumps, using trend analyses 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.

Detailed information about the dataset can be found in the data documentation.

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Nitze, Ingmar

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APGC Dataset Metadata in JSON-Format

Daten und Ressourcen

Zusätzliche Informationen

Feld Wert
Identifikator DOI:10.1594/PANGAEA.894755
Projekt(e) ESA GlobPermafrost, ERC PETA-CARB
Institut AWI Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Quelle https://doi.pangaea.de/10.1594/PANGAEA.894755
Publikationsdatum 2018-09-25
Version 1.0
Produkt Permafrost Region Disturbance
Sensor(en) Landsat
Dateien
  1. polygon shapefile of permafrost regions disturbance (PRD) type retrogressive thaw slumps
Variablen [Einheiten]
  1. Object ID
  2. Area in m² [m²]
  3. Area in km² [km²]
Region Eastern Siberia
Räumlicher Bezug EPSG:4326 WGS 84
Räumliche Auflösung 30 m
Räumliche Abdeckung Latitude 63.70 to 72.34, Longitude 124.01 to 131.85
Zeitliche Abdeckung 1999 to 2014
Zeitliche Auflösung
Format Shapefile
Is 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
Zusammenhang mit

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. 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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