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Bibliographische Detailangaben
Hauptverfasser: 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 Open Access
Sprache:en
Veröffentlicht: PANGAEA 2024
Schlagworte:
AC; Airborne Data; Aircraft; AIRMETH, SMART, AIRCOAST, PermaSAR; Arctic Landscape Dynamics; Binary Object; Binary Object (File Size); Canada; Digital Surface Model; File content; MACS; Modular Observation Solutions for Earth Systems; MOSES; Northwest Territories, Canada; Orthoimagery; P5_212_AIRMETH_2018_1808221501; P5-212_AIRMETH_2018; Permafrost; point clouds; POLAR 5; Project; Structure-from-Motion
Online-Zugang:https://doi.org/10.1594/PANGAEA.962014
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Inhaltsangabe:
  • 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.

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