Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 06)

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 37.36 pts/m² and 12.48 pts/m², respectively. This dataset covers approximately 9.46 km² of the Ketik fire scar in Alaska, with all images collected on 27 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.

作为2019年由阿尔弗雷德·魏格纳研究所（Alfred Wegener Institute）主导的ThawTrend-Air航空科考项目的组成部分，我们采用德国航空航天中心（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（permafrost）景观的超高分辨率多光谱影像。基于上述影像，我们通过摄影测量流程处理得到空间分辨率为7厘米的四波段正射影像（涵盖蓝、绿、红、近红外波段）与数字地表模型，同时生成了RGB和近红外（near-infrared, NIR）格式的摄影测量点云，二者的点密度分别为37.36个点/平方米与12.48个点/平方米。本数据集覆盖阿拉斯加州凯蒂克（Ketik）火烧迹地约9.46平方千米的范围，所有影像均采集于2019年7月27日。该超高分辨率数据集可为永久冻土地貌清单的精细化训练数据集构建、热喀斯特（thermokarst）与热侵蚀（thermo-erosion）过程变化检测的基准参照建立，以及将野外实测数据尺度上推至低分辨率卫星观测数据提供重要支撑。