محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , , , , , , |
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| التنسيق: | Dataset Open Access |
| اللغة: | en |
| منشور في: |
PANGAEA
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1594/PANGAEA.962011 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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جدول المحتويات:
- 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 11.92 px/m³ and 3.96 px/m³ respectively. This dataset covers approximately 15.46 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.