Georeferenced historical CORONA and HEXAGON images for key sites in the West Siberian Arctic
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2026
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| _version_ | 1867171055955607552 |
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| author | Nesterova, Nina Maiia, Vasileva Nitze, Ingmar Grosse, Guido |
| author_facet | Nesterova, Nina Maiia, Vasileva Nitze, Ingmar Grosse, Guido |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The dataset presents georeferenced historical images of CORONA (1964 and 1969) and HEXAGON (1972, 1977, 1982, 1984) satellites for 5 key sites in the West Siberian Arctic. Georeferenced images were used to analyze the dynamics of retrogressive thaw slumps in this region. CORONA image georeferencing was performed in the open-source software QGIS version 3.34.8, using the ESRI Satellite basemap as a reference layer. We used a 3rd polynomial transformation method. The number of ground control points (GCPs) varied depending on terrain characteristics, image properties, and the mean error (RMS, 2.7-3.1 m) reported by the QGIS georeferencing module, but was not less than 40 points for each image. As the resampling method, we used a nearest neighbor algorithm. CORONA pixelsize is 2.75m. HEXAGON imagery was also georeferenced in QGIS, following the same procedure as for CORONA imagery, with the ESRI Satellite basemap used as reference. We also used a 3rd polynomial transformation (1) with nearest neighbor resampling. However, in certain cases, we used the Thin Plate Spline method with cubic (4x4 kernel) resampling (2) instead. The choice of method depended on image-specific characteristics and was based on a visual assessment of the georeferencing quality: method (1) was suitable for most images, as they were of high quality and acquired in (near-)nadir orientation. For images acquired at an oblique angle or experiencing distortions, method (2) performed better. For each image, around 40-50 Ground Control Points (GCPs) were created. HEXAGON pixelsize is 1 m. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_987396 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Georeferenced historical CORONA and HEXAGON images for key sites in the West Siberian Arctic Nesterova, Nina Maiia, Vasileva Nitze, Ingmar Grosse, Guido AWI_Perma; Binary Object; Comment; Date; DATE/TIME; Event label; File name; G1_1964; G1_1984; G2_1964; G2_1984; G3_1972; G3_1977; G3_1982; Gydansky peninsula; Image set; Method comment; Number of points, on ground; Permafrost; Permafrost Research; Pixel size; Processing software; QGIS software; Root mean square error; Sample source; Sampling; Site; Western Siberia; West Siberian Arctic; Y1_1969; Y1_1984; Y2_1972; Yamal The dataset presents georeferenced historical images of CORONA (1964 and 1969) and HEXAGON (1972, 1977, 1982, 1984) satellites for 5 key sites in the West Siberian Arctic. Georeferenced images were used to analyze the dynamics of retrogressive thaw slumps in this region. CORONA image georeferencing was performed in the open-source software QGIS version 3.34.8, using the ESRI Satellite basemap as a reference layer. We used a 3rd polynomial transformation method. The number of ground control points (GCPs) varied depending on terrain characteristics, image properties, and the mean error (RMS, 2.7-3.1 m) reported by the QGIS georeferencing module, but was not less than 40 points for each image. As the resampling method, we used a nearest neighbor algorithm. CORONA pixelsize is 2.75m. HEXAGON imagery was also georeferenced in QGIS, following the same procedure as for CORONA imagery, with the ESRI Satellite basemap used as reference. We also used a 3rd polynomial transformation (1) with nearest neighbor resampling. However, in certain cases, we used the Thin Plate Spline method with cubic (4x4 kernel) resampling (2) instead. The choice of method depended on image-specific characteristics and was based on a visual assessment of the georeferencing quality: method (1) was suitable for most images, as they were of high quality and acquired in (near-)nadir orientation. For images acquired at an oblique angle or experiencing distortions, method (2) performed better. For each image, around 40-50 Ground Control Points (GCPs) were created. HEXAGON pixelsize is 1 m. |
| title | Georeferenced historical CORONA and HEXAGON images for key sites in the West Siberian Arctic |
| topic | AWI_Perma; Binary Object; Comment; Date; DATE/TIME; Event label; File name; G1_1964; G1_1984; G2_1964; G2_1984; G3_1972; G3_1977; G3_1982; Gydansky peninsula; Image set; Method comment; Number of points, on ground; Permafrost; Permafrost Research; Pixel size; Processing software; QGIS software; Root mean square error; Sample source; Sampling; Site; Western Siberia; West Siberian Arctic; Y1_1969; Y1_1984; Y2_1972; Yamal |
| url | https://doi.org/10.1594/PANGAEA.987396 |