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| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2024
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1594/PANGAEA.962132 |
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- As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, 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 7 cm, as well as photogrammetric point clouds in RGB and NIR at 24.33 pts/m² and 8.47 pts/m², respectively. This dataset covers approximately 7.76 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. 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.