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设得兰群岛无人机测绘学:基于无人机的摄影测量数据集,用于南极环境研究。

ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research.

机构信息

Institute of Marine Sciences of Andalusia (ICMAN), Spanish National Research Council (CSIC), Department of Ecology and Coastal Management, 11510, Puerto Real, Spain.

University of Cádiz, Department of Earth Sciences, International Campus of Excellence in Marine Science (CEIMAR), 11510, Puerto Real, Spain.

出版信息

Sci Data. 2024 Feb 14;11(1):202. doi: 10.1038/s41597-024-03045-1.

Abstract

The study of the functioning and responses of Antarctica to the current climate change scenario is a priority and a challenge for the scientific community aiming to predict and mitigate impacts at a regional and global scale. Due to the difficulty of obtaining aerial data in such extreme, remote, and difficult-to-reach region of the planet, the development of remote sensing techniques with Unmanned Aerial Vehicles (UAVs) has revolutionized polar research. ShetlandsUAVmetry comprises original datasets collected by UAVs during the Spanish Antarctic Campaign 2021-2022 (January to March 2022), along with the photogrammetric products resulting from their processing. It includes data recorded during twenty-eight distinct UAV flights at various study sites on Deception and Livingston islands (South Shetland Islands, Antarctica) and consists of a total of 15,691 high-resolution optical RGB captures. In addition, this dataset is accompanied by additional associated files that facilitate its use and accessibility. It is publicly accessible and can be downloaded from the figshare data repository.

摘要

研究南极洲对当前气候变化情景的功能和响应是科学界的一个优先事项和挑战,旨在预测和减轻区域和全球范围内的影响。由于在地球上这个极端、偏远和难以到达的地区获取航空数据的困难,使用无人机 (UAV) 的遥感技术已经彻底改变了极地研究。ShetlandsUAVmetry 包含了 2021-2022 年西班牙南极考察期间(2022 年 1 月至 3 月)无人机收集的原始数据集,以及对这些数据进行处理后得到的摄影测量产品。它包括在欺骗岛和利文斯顿岛(南极南设得兰群岛)的不同研究地点进行的二十八次不同的无人机飞行中记录的数据,总共有 15691 张高分辨率光学 RGB 捕获图像。此外,该数据集还附有其他相关文件,以方便其使用和获取。它是公开可用的,可以从 figshare 数据存储库下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a4/10866955/c4e5c2f5cb79/41597_2024_3045_Fig1_HTML.jpg

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