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LAMSkyCam:一款低成本微型地面天空相机。

LAMSkyCam: A low-cost and miniature ground-based sky camera.

作者信息

Jain Mayank, Sengar Vishal Singh, Gollini Isabella, Bertolotto Michela, McArdle Gavin, Dev Soumyabrata

机构信息

The ADAPT SFI Research Centre, Ireland.

School of Computer Science, University College Dublin, Ireland.

出版信息

HardwareX. 2022 Aug 13;12:e00346. doi: 10.1016/j.ohx.2022.e00346. eCollection 2022 Oct.

DOI:10.1016/j.ohx.2022.e00346
PMID:36160760
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9490197/
Abstract

Ground-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer fantastic alternatives to satellite measurements for the purpose of earth observations. In this paper, we propose an extremely low-cost and miniature ground-based sky camera for atmospheric study. Built using 3D printed and off-the-shelf components, our sky camera is lightweight and robust for use in diverse climatic conditions. With a field of view angle, the camera captures high resolution sky/cloud images for both day and night times at 5 min intervals. The camera is designed to be mounted on a pole-like architecture and with its compact form, it can be installed at any location without requiring any change in the existing infrastructure. For remote areas, the camera also has a local backup facility from which data can be easily accessed manually. We have open-sourced the hardware design of our sky camera, and therefore researchers can easily manufacture and deploy these cameras for their respective use cases.

摘要

地基天空成像仪(GSIs)在遥感分析人员中越来越受欢迎。这是因为此类成像仪为地球观测目的提供了替代卫星测量的绝佳选择。在本文中,我们提出了一种用于大气研究的超低成本微型地基天空相机。我们的天空相机采用3D打印部件和现成组件制造,重量轻且坚固耐用,可在各种气候条件下使用。该相机具有一定视角,能够以5分钟的间隔拍摄白天和夜间的高分辨率天空/云图像。相机设计为安装在杆状结构上,由于其紧凑的外形,可以安装在任何位置,而无需对现有基础设施进行任何更改。对于偏远地区,该相机还具备本地备份设施,数据可轻松手动获取。我们已将天空相机的硬件设计开源,因此研究人员可以轻松制造并部署这些相机以用于各自的应用场景。

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HardwareX. 2022 Aug 13;12:e00346. doi: 10.1016/j.ohx.2022.e00346. eCollection 2022 Oct.
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本文引用的文献

1
Development of an all-sky imaging system for cloud cover assessment.用于云量评估的全天空成像系统的开发。
Appl Opt. 2019 Jul 10;58(20):5516-5524. doi: 10.1364/AO.58.005516.