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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2023
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| Online-Zugang: | https://doi.org/10.1594/PANGAEA.962194 |
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| author | Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido |
| author_facet | Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 20.17 pts/m² and 7.11 pts/m², respectively. This dataset covers approximately 8.63 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_962194 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 05) Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow, Alaska, USA; Binary Object; Digital Surface Model; File content; Ice-wedge Polygons; Lake; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907230701; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Project; Structure-from-Motion; Teshekpuk Lake; US-Air_2019_AK_NorthSlope, ThawTrendr-Air, AIRMETH As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 20.17 pts/m² and 7.11 pts/m², respectively. This dataset covers approximately 8.63 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations. |
| title | Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 05) |
| topic | AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow, Alaska, USA; Binary Object; Digital Surface Model; File content; Ice-wedge Polygons; Lake; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907230701; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Project; Structure-from-Motion; Teshekpuk Lake; US-Air_2019_AK_NorthSlope, ThawTrendr-Air, AIRMETH |
| url | https://doi.org/10.1594/PANGAEA.962194 |