Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 05)

• 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; AIRMETH; SMART; AIRCOAST; PermaSAR; Arctic Landscape Dynamics; Binary Object; Canada; Digital Surface Model; File content; MACS; Modular Observation Solutions for Earth Systems; MOSES; Northwest Territories; Orthoimagery; P5_212_AIRMETH_2018; P5_212_AIRMETH_2018_1808221501; Permafrost; Point cloud; LAS file; point clouds; POLAR 5; Project; Raster graphic; GeoTIFF format; Structure-from-Motion; Alfred Wegener Institute; Arctic; permafrost; Thermokarst
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.962004

As 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 14.48 px/m³ and 4.74 px/m³ respectively. This dataset covers approximately 21.39 km² of Trail Valley Creek, 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.