Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Inuvik-Tuktoyaktuk-Highway, Canada

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 proc...

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Bibliographic Details
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
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.962014
Description
Summary: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 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.