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| Autori principali: | , , , , , , , , , , , , |
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| Natura: | Dataset Open Access |
| Lingua: | en |
| Pubblicazione: |
PANGAEA
2024
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| Soggetti: | |
| Accesso online: | https://doi.org/10.1594/PANGAEA.962134 |
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Sommario:
- 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 23.22 pts/m² and 8.44 pts/m², respectively. This dataset covers approximately 6.21 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.