Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 01)
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2024
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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 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.00 pts/m² and 3.15 pts/m², respectively. This dataset covers approximately 13.79 km² of the central North Slope in Alaska, with all images collected on 29 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_962539 |
| institution | PANGAEA |
| language | en |
| publishDate | 2024 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 01) 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; Binary Object (File Size); Digital Surface Model; File content; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907291001; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Project; Structure-from-Motion; 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 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.00 pts/m² and 3.15 pts/m², respectively. This dataset covers approximately 13.79 km² of the central North Slope in Alaska, with all images collected on 29 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 Central North Slope, Alaska (subset 01) |
| topic | AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow, Alaska, USA; Binary Object; Binary Object (File Size); Digital Surface Model; File content; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907291001; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Project; Structure-from-Motion; US-Air_2019_AK_NorthSlope, ThawTrendr-Air, AIRMETH |
| url | https://doi.org/10.1594/PANGAEA.962539 |