遇见数据集

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 09)

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DataONE2025-09-10 更新2026-05-19 收录
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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 16.79 pts/m² and 6.45 pts/m², respectively. This dataset covers approximately 10.73 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.

作为阿尔弗雷德·魏格纳研究所(Alfred Wegener Institute)2019年主导的ThawTrend-Air航空科考任务的一部分,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,我们通过摄影测量手段处理得到空间分辨率为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(Near-Infrared, NIR)格式的摄影测量点云,其点密度分别为16.79个点/平方米与6.45个点/平方米。本数据集覆盖阿拉斯加州特谢普克湖(Teshekpuk Lake)以北约10.73平方千米的区域,所有影像均采集于2019年7月23日。这款超高分辨率数据集可用于生成永久冻土地貌清单的精细化训练数据集,作为热喀斯特(thermokarst)与热侵蚀(thermo-erosion)过程变化检测的基准,同时支持将野外实测数据尺度上推至低分辨率卫星观测数据。

创建时间:
2026-04-07
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