Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 02)@en

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 35.36 pts/m² and 13.04 pts/m², respectively. This dataset covers approximately 8.25 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.本数据集作为阿尔弗雷德·魏格纳研究所（Alfred Wegener Institute）2021年主导的Perma-X航空科考项目的一部分，研究团队借助德国航空航天中心（German Aerospace Center）研发的模块化航空相机系统（Modular Aerial Camera System，MACS）采集了永久冻土景观的超高分辨率多光谱影像，并基于上述影像通过摄影测量手段生成了空间分辨率为7厘米的四波段正射影像（包含蓝、绿、红、近红外四个波段）与数字表面模型，同时生成了RGB与近红外（NIR）格式的摄影测量点云，其点密度分别为35.36个点/平方米与13.04个点/平方米。本数据集覆盖阿拉斯加巴克兰火灾迹地（Buckland Fire scar）约8.25平方千米的范围，所有影像均采集于2021年6月27日。这款超高分辨率数据集可用于生成高精度永久冻土地貌清查训练数据集，作为热融喀斯特与热侵蚀过程变化检测的基准基线，同时可实现野外实测数据向低分辨率卫星观测数据的尺度上推。