Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Meade fire scar, Alaska (subset 02)

• Main Authors: 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
• Format: Dataset
• Language: English
• Published: PANGAEA
• Subjects: AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow; USA; Binary Object; Digital Surface Model; File content; Fire Scar; Ice-wedge Polygons; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907291001; P6-219_ThawTrendR_Air_2019; Permafrost; Point cloud; LAS file; point clouds; POLAR 6; Project; Raster graphic; GeoTIFF format; Structure-from-Motion; US-Air_2019_AK_NorthSlope; ThawTrendr-Air; AIRMETH; Alfred Wegener Institute; Ice; permafrost; Thermokarst; wedge*
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.962536

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 9.11 pts/m² and 3.21 pts/m², respectively. This dataset covers approximately 21.10 km² of the Meade fire scar 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.