10.1594/PANGAEA.962014Rettelbach, TabeaTabeaRettelbach0000-0002-4187-4113Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamNitze, IngmarIngmarNitze0000-0002-1165-6852Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamGrünberg, IngeIngeGrünberg0000-0002-5748-8102Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamHammar, JennikaJennikaHammarAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamSchäffler, SimonSimonSchäfflerLudwig-Maximilians-Universität MünchenHein, DanielDanielHeinGerman Aerospace CenterGessner, MatthiasMatthiasGessnerGerman Aerospace CenterBucher, TilmanTilmanBucherGerman Aerospace CenterBrauchle, JörgJörgBrauchle0000-0002-3556-7643German Aerospace CenterHartmann, JörgJörgHartmann0000-0001-5204-4652Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, BremerhavenSachs, TorstenTorstenSachs0000-0002-9959-4771GeoForschungsZentrum PotsdamBoike, JuliaJuliaBoike0000-0002-5875-2112Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamGrosse, GuidoGuidoGrosse0000-0001-5895-2141Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, PotsdamPANGAEA2024Airborne DataArctic Landscape DynamicsCanadaDigital Surface ModelMACSOrthoimageryPermafrostpoint cloudsStructure-from-MotionProjectFile contentBinary ObjectBinary Object (File Size)AircraftP5-212_AIRMETH_2018POLAR 5Modular Observation Solutions for Earth Systems (MOSES)2018-08-22T20:07:51/2018-08-23T02:08:49Dataset10.1594/PANGAEA.96157710.5194/essd-16-5767-202433 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalAs part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, 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 10.28 px/m³ and 3.86 px/m³ respectively. This dataset covers approximately 15.03 km² of the Inuvik-Tuktoyaktuk-Highway in Canada, with all images collected on 22 August 2018. 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.-133.500194-133.50010468.30527668.30561Northwest Territories, Canada