ShetlandsUAVmetry:基于无人驾驶飞行器的摄像度数据集,用于南极环境研究
Alejandro Román1, Gabriel Navarro2, Antonio Tovar-Sánchez2
1Institute of Marine Sciences of Andalusia (ICMAN), Spanish National Research Council (CSIC), Department of Ecology and Coastal Management, 11510, Puerto Real, Spain. a.roman@csic.es.
Scientific data
|February 14, 2024
概括
无人驾驶飞行器 (UAV) 为南极气候变化研究提供关键的空中数据. 申特兰群岛UAVmetry数据集提供了15691张来自南申特兰群岛的高分辨率图像,有助于极地研究和影响预测.
科学领域:
- * 极地科学和遥感技术
- * 气候变化研究研究
- * 地理空间数据采集
背景情况:
- *了解南极洲对气候变化的反应对于全球影响预测至关重要.
- *南极洲的极端条件对传统的空中数据收集构成重大挑战.
- *无人驾驶飞行器 (UAV) 为偏远的极地研究提供了革命性的解决方案.
研究的目的:
- * 介绍夏特兰群岛UAVmetry数据集,这是一个来自南极洲的UAV衍生数据的新型数据集.
- *为气候变化影响研究提供高分辨率图像和摄影仪表产品.
- * 促进南极地缘空间数据的可访问性和利用性.
主要方法:
- *在2021-2022年西班牙南极运动期间,通过28次无人机飞行 (UAV) 飞行收集数据.
- * 在欺骗和利文斯顿群岛获得了15691张高分辨率光学RGB图像.
- *将原始图像加工成摄像度产品.
主要成果:
- *创建夏特兰群岛UAVmetry数据集,包括广泛的UAV图像和衍生产品.
- *详细的空间数据涵盖了南塞特兰群岛的关键研究地点.
- * 相关文件的可用性,以提高数据的可用性.
结论:
- * ShetlandsUAVmetry数据集显著提高了南极环境监测能力.
- *可访问的高分辨率无人机数据对于气候变化研究和减缓努力至关重要.
- *本数据集支持未来的极地研究,为分析和预测提供了宝贵的资源.
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