Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 01)

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.961941
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 12.36 pts/m³ and 4.28 pts/m³ respectively. This dataset covers approximately 17.35 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.