Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 03)

As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, 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 36.23 pts/m² and 12.77 pts/m², respectively. This dataset covers approximately 7.69 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. 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.

作为2021年由阿尔弗雷德·魏格纳研究所（Alfred Wegener Institute）主导的Perma-X航空科考项目的一部分，本研究借助德国航空航天中心研发的模块化航空相机系统（Modular Aerial Camera System, MACS），采集了多年冻土景观的超高分辨率多光谱影像。基于上述影像，研究团队通过摄影测量方法处理得到空间分辨率为7 cm的四波段正射影像（蓝、绿、红、近红外波段）与数字地表模型，同时生成RGB和近红外（Near-Infrared, NIR）格式的摄影测量点云，其点密度分别为36.23 pts/m²与12.77 pts/m²。本数据集覆盖阿拉斯加巴克兰火灾迹地（Buckland Fire scar）约7.69 km²的范围，所有影像均采集于2021年6月27日。该超高分辨率数据集可用于生成多年冻土地貌清单的精细化训练数据集，作为热融喀斯特与热侵蚀过程变化检测的基准，同时可实现野外测量数据向上尺度转换至低分辨率卫星观测数据的应用。