Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 03)@en

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 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.57 pts/m² and 3.00 pts/m², respectively. This dataset covers approximately 15.08 km² of the central North Slope in Alaska, with all images collected on 29 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机载科考项目的组成部分，本研究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（permafrost）景观的超高分辨率多光谱影像。基于上述影像，研究人员通过摄影测量方法处理得到空间分辨率为10厘米的四波段正射影像（包含蓝、绿、红、近红外（near-infrared）四个波段）与数字表面模型，同时生成了分别为8.57点/平方米、3.00点/平方米的RGB与近红外（NIR）摄影测量点云数据。本数据集覆盖阿拉斯加北坡中部约15.08平方千米的区域，所有影像均采集于2019年7月29日。这款超高分辨率数据集可用于构建永久冻土地貌清单的精细化训练数据集，为热融喀斯特（thermokarst）与热侵蚀（thermo-erosion）过程的变化检测提供基准基线，同时可支撑野外实测数据向低分辨率卫星观测数据的尺度上推研究。