Vector dataset of manually mapped retrogressive thaw slumps from very high-resolution multispectral imagery in the Russian High Arctic between 2011 and 2020 ...

We present a comprehensive inventory of retrogressive thaw slumps (RTS) for six study sites in the Russian High Arctic covering an area of more than 600 km². The sites are located on the Novaya Zemlya Archipelago, Kolguev Island, Bol'shoy Lyakhovsky Island, and Taymyr Peninsula in ice-rich perm...

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Bibliographic Details
Main Authors: Barth, Sophia, Nitze, Ingmar, Juhls, Bennet, Runge, Alexandra, Grosse, Guido
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Climate change
High Arctic
ice-rich Permafrost
landslide
mapping
Permafrost
Permafrost coasts
permafrost thaw
Retrogressive Thaw Slumps
Russia
Russian Arctic
Siberia
thermokarst
Event label
LATITUDE
LONGITUDE
Location
DATE/TIME
Geospatial vector, shapefiles
Geospatial vector, shapefiles File Size
Satellite imagery
Permafrost Research AWI_Perma
Arctic
Taymyr
Ice
Kolguev
Novaya Zemlya
permafrost
Taymyr Peninsula
Thermokarst
Online Access:https://dx.doi.org/10.1594/pangaea.961794
https://doi.pangaea.de/10.1594/PANGAEA.961794
Description
Summary:We present a comprehensive inventory of retrogressive thaw slumps (RTS) for six study sites in the Russian High Arctic covering an area of more than 600 km². The sites are located on the Novaya Zemlya Archipelago, Kolguev Island, Bol'shoy Lyakhovsky Island, and Taymyr Peninsula in ice-rich permafrost characterized by either buried glacial ice or syngenetically formed Yedoma permafrost deposits. This data publication contains geospatial polygon vector files of the individual mapped slumps across multiple time slices. The mapping was performed on multispectral imagery of very high-resolution satellite sensors, including PlanetScope (3m ground resolution), RapidEye (5m), Pléiades (0.5m), and SPOT (1.5m). Cloud free images were acquired between 2011 and 2020 and exist for annual or close-to-annual time steps depending on their availability. Additional data sets such as the ArcticDEM, the Esri Satellite base map, and Tasseled Cap Landsat Trends were used to support the mapping process. The identification and ... : Vector format: ESRI shapefileVector type: polygon, polylineProjection: WGS_1984_UTM, Zones: 54N, 39N, 49N, and 45NParameters: Polygons: attributes: id, area_m², year, image_ids, sensor, sp_res_m, date_, layer, authorPolylines: line_ID, DSAS_date, line_Leng, authorTransects: TransectID, Azimuth, TCD, SHAPE_Leng, NSM, EPR ...

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