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Nesterova, Nina; Maiia, Vasileva; Grosse, Guido: Classified and delineated retrogressive thaw slumps in five key sites in West Siberia in 1960s, 1970s, 1980s and 2024 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.987395 (dataset in review)

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Abstract:
The dataset presents semi-manually delineated polygons of retrogressive thaw slumps (RTSs) at five key sites (G1, G2, G3, Y1, Y2) in the West Siberian Arctic, particularly in Gydan and Yamal peninsulas. The delineation was performed based on CORONA (1964, 1969), HEXAGON (1972, 1977, 1982, 1984), and PlanetScope (2024) satellite images. Each polygon delineated based on historical images (CORONA or HEXAGON) was assigned with unique ID (RTS name [] field), some of which correspond to the RTS IDs from the dataset by Nesterova et al. (2025). RTS polygons were also classified with a corresponding numerical code. An additional field of the confidence level included three categories: 1 – confident, 2 – uncertain, and 3 – no data / no confidence. RTS polygons delineated based on PlanetScope 2024 images consist of a state field describing manual or automatic mapping. More details on the delineation and classification methods are described in Nesterova et al. (2025).
Keyword(s):
Arctic; Permafrost; Retrogressive Thaw Slumps; West Siberian Arctic
Related to:
Nesterova, Nina; Leibman, Marina; Stadie, Carl; Hölzer, Tobias; Nitze, Ingmar; Tarasevich, Ilia; Maier, Kathrin; Maiia, Vasileva; Lantuit, Hugues; Grosse, Guido (preprint): Rapid increase in West Siberia’s retrogressive thaw slumps since 1964 associated with Arctic winter warming. https://doi.org/10.21203/rs.3.rs-7697239/v1
Nesterova, Nina; Maiia, Vasileva; Nitze, Ingmar; Grosse, Guido: Georeferenced historical CORONA and HEXAGON images for key sites in the West Siberian Arctic [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.987396
Nesterova, Nina; Tarasevich, Ilia; Leibman, Marina; Khomutov, Artem V; Kizyakov, Alexander; Nitze, Ingmar; Grosse, Guido (preprint): High-resolution inventory and classification of retrogressive thaw slumps in West Siberia. https://doi.org/10.5194/essd-2025-164
Project(s):
Permafrost Research (AWI_Perma)
Funding:
National Science Foundation (NSF), grant/award no. 1927872
National Science Foundation (NSF), grant/award no. 2052107
Coverage:
Median Latitude: 70.610065 * Median Longitude: 74.884484 * South-bound Latitude: 69.844234 * West-bound Longitude: 68.017548 * North-bound Latitude: 71.622671 * East-bound Longitude: 82.223048
Date/Time Start: 2025-07-01T00:00:00 * Date/Time End: 2025-07-01T00:00:00
Event(s):
G1_1964  * Latitude Start: 71.170082 * Longitude Start: 78.273251 * Latitude End: 71.622671 * Longitude End: 80.112557 * Date/Time: 2025-07-01T00:00:00 * Location: Western Siberia * Method/Device: QGIS software * Comment: Source satellite CORONA, acquisition year 1964
G1_1984  * Latitude Start: 71.170082 * Longitude Start: 78.273226 * Latitude End: 71.622671 * Longitude End: 80.112508 * Date/Time: 2025-07-01T00:00:00 * Location: Western Siberia * Method/Device: QGIS software * Comment: Source satellite HEXAGON, acquisition year 1984
G1_2024  * Latitude Start: 71.170082 * Longitude Start: 78.272975 * Latitude End: 71.602876 * Longitude End: 80.112408 * Date/Time: 2025-07-01T00:00:00 * Location: Western Siberia * Method/Device: QGIS software * Comment: Source satellite PlanetScope, acquisition year 2024
Comment:
* The files of RTS polygons are in GEOJSON vector format. The naming follows the logic: Key site name + year.
* The polygons of 1964, 1969, 1972, 1977, 1982, 1984 consist of the following fields: RTS_name of unique RTS ID, notes of a numerical code of classification, Confidence_Level of the confidence three categories.
* The polygons of 2024 consist of the following fields: RTS name [] of unique RTS ID, state indicating manual or automatic mapping method.
* All detailed information on delineation and classification methods can be found in Supplementary Information 2 of Nesterova et al. (2025).
Funded by "Der Deutsche Akademische Austauschdienst (DAAD) - STIBET I", google.org " Impact Challenge on Climate Innovation to the Permafrost Discovery Gateway development", BMWK "ML4EARTH" and the "Planet Research Program"
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Event labelEventNesterova, Nina
2 Latitude of eventLatitudeNesterova, Nina
3 Longitude of eventLongitudeNesterova, Nina
4 Latitude of event 2Latitude 2Nesterova, Nina
5 Longitude of event 2Longitude 2Nesterova, Nina
6 NameNameNesterova, NinaLayer
7 SiteSiteNesterova, NinaKey site
8 Year of imageryImagerya ADNesterova, NinaYear of acquisition
9 Processing softwarePSNesterova, NinaDevice
10 Sample sourceSample sourceNesterova, NinaSource Satellite
11 File contentContentNesterova, Nina
12 Binary ObjectBinaryNesterova, Nina
13 Binary Object (File Size)Binary (Size)BytesNesterova, Nina
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
109 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.

1 
Event		2 
Latitude		3 
Longitude		4 
Latitude 2		5 
Longitude 2		6 
Name		7 
Site		8 
Imagery [a AD]		9 
PS		10 
Sample source		11 
Content		12 
Binary		13 
Binary (Size) [Bytes]
csv with metadataRTS_polygons_merged_curated.csv759.8 kBytes
geojson with all layersRTS_polygons_merged_curated.geojson55.2 MBytes
G1_1964 71.170178.273371.622780.1126G1_1964G11964QGIS v.3.34.7CORONAgeojson with layer G1_1964G1_1964.geojson1.3 MBytes
G1_1984 71.170178.273271.622780.1125G1_1984G11984QGIS v.3.34.6HEXAGONgeojson with layer G1_1984G1_1984.geojson1.9 MBytes
G1_2024 71.170178.273071.602980.1124G1_2024G12024QGIS v.3.34.5PlanetScopegeojson with layer G1_2024G1_2024.geojson346 kBytes
G2_1964 70.416279.378071.040482.2230G2_1964G21964QGIS v.3.34.4CORONAgeojson with layer G2_1964G2_1964.geojson2.1 MBytes
G2_1984 70.416379.378071.040482.2229G2_1984G21984QGIS v.3.34.3HEXAGONgeojson with layer G2_1984G2_1984.geojson3.5 MBytes
G2_2024 70.428279.379271.040782.2224G2_2024G22024QGIS v.3.34.2PlanetScopegeojson with layer G2_2024G2_2024.geojson715.2 kBytes
G3_1972 70.118273.988970.359474.9419G3_1972G31972QGIS v.3.34.1HEXAGONgeojson with layer G3_1972G3_1972.geojson14.4 MBytes
G3_1977 70.118273.988970.359474.9419G3_1977G31977QGIS v.3.34.0HEXAGONgeojson with layer G3_1977G3_1977.geojson16.2 MBytes
G3_1982 70.118273.988970.359374.9419G3_1982G31982QGIS v.3.34.1HEXAGONgeojson with layer G3_1982G3_1982.geojson15.6 MBytes
G3_2024 70.118274.023370.338174.8044G3_2024G32024QGIS v.3.34.2PlanetScopegeojson with layer G3_2024G3_2024.geojson115.4 kBytes
Y1_1969 69.844268.017670.216669.7127Y1_1969Y11969QGIS v.3.34.3CORONAgeojson with layer Y1_1969Y1_1969.geojson1.5 MBytes
Y1_1984 69.844368.017570.216669.7129Y1_1984Y11984QGIS v.3.34.4HEXAGONgeojson with layer Y1_1984Y1_1984.geojson1.7 MBytes
Y1_2024 69.844668.021370.195169.6420Y1_2024Y12024QGIS v.3.34.5PlanetScopegeojson with layer Y1_2024Y1_2024.geojson440.2 kBytes
Y2_1972 70.681269.050171.051369.8745Y2_1972Y21972QGIS v.3.34.6HEXAGONgeojson with layer Y2_1972Y2_1972.geojson4.1 MBytes
Y2_2024 70.728769.050271.049969.8556Y2_2024Y22024QGIS v.3.34.7PlanetScopegeojson with layer Y2_2024Y2_2024.geojson205.1 kBytes