3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 20 August 2018 at 12:41 UTC

This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 20 August 2018. The UAV survey commenced at 12:41 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_493-497 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to Remote Sensing.

本数据集包含2018年8月20日于格陵兰东北部迪克森峡湾（Dickson Fjord）由DJI Phantom 3 Standard型无人驾驶航空器（Unoccupied Aerial Vehicle，UAV）采集的低空航拍影像。该次无人机航拍任务于协调世界时12:41启动。上述影像在Agisoft PhotoScan Pro（v1.4；Linux Ubuntu系统）中完成处理。在Agisoft PhotoScan的影像对齐步骤中，采用“高精度”模式，设置关键点与连接点限值分别为60000与0，同时禁用通用预选与参考预选功能；通过渐进式选择剔除超出投影精度、重建不确定性及重投影误差阈值的连接点，并求解镜头参数。以影像DJI_493至DJI_497的参考数据对稀疏点云进行尺度标定。随后以“高精度”模式生成密集点云，进而构建带纹理的网格模型。网格模型以.obj和.pdf格式导出。本数据集的完整文件清单详见配套的README文件。本数据集相关研究参见：Carlson等人的《利用无人机影像与运动恢复结构（Structure from Motion）摄影测量软件量化冰山退化》一文，该文已投稿至《Remote Sensing》。

搜集汇总

背景与挑战

背景概述

该数据集包含2018年8月20日在格陵兰东北部Dickson Fjord采集的一个漂浮冰山的3D网格模型和原始无人机图像，使用DJI Phantom 3 Standard无人机和Agisoft PhotoScan Pro软件通过运动结构摄影测量技术处理生成。数据集主要用于冰山退化量化研究，支持遥感应用，并包含.obj、.pdf格式的网格文件和原始图像文件。