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

被引:4
作者
Jain, Mayank [1 ,2 ]
Sengar, Vishal Singh [3 ]
Gollini, Isabella [4 ]
Bertolotto, Michela [2 ]
McArdle, Gavin [2 ]
Dev, Soumyabrata [1 ,2 ]
机构
[1] ADAPT SFI Res Ctr, Dublin, Ireland
[2] Univ Coll Dublin, Sch Comp Sci, Dublin, Ireland
[3] Indraprastha Inst Informat Technol, Delhi, India
[4] Univ Coll Dublin, Sch Math & Stat, Dublin, Ireland
来源
HARDWAREX | 2022年 / 12卷
基金
爱尔兰科学基金会;
关键词
Remote sensing; Raspberry Pi; 3D-printing; Cloud images; IMAGING-SYSTEM; CLOUD;
D O I
10.1016/j.ohx.2022.e00346
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ground-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer fantastic alternatives to satellite measure-ments 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 63 & DEG; 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 with-out 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.(c) 2022 The Author(s). Published by Elsevier Ltd.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] COMPARISON OF AEROSOL OPTICAL PROPERTIES RETRIEVED FROM DIFFERENT GROUND-BASED SKY RADIANCE OBSERVATION
    Li Donghui
    Li Zhengqiang
    Li Kaitao
    Xing Xufeng
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2509 - 2511
  • [22] PresTo: A liquid-filled camera for low-cost imaging in the deep sea
    Motsenbocker, Breanna E.
    Noyes, Timothy J.
    Runyan, Alexandra T.
    Shomberg, Russell
    Phillips, Brennan T.
    DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2024, 206
  • [23] A Low-Cost Smartphone Sensor-Based UV Camera for Volcanic SO2 Emission Measurements
    Wilkes, Thomas Charles
    Pering, Tom David
    McGonigle, Andrew John Samuel
    Tamburello, Giancarlo
    Willmott, Jon Raffe
    REMOTE SENSING, 2017, 9 (01):
  • [24] MONITORING OF TREES' HEALTH CONDITION USING A UAV EQUIPPED WITH LOW-COST DIGITAL CAMERA
    Barmpoutis, Panagiotis
    Stathaki, Tania
    Kamperidou, Vasiliki
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8291 - 8295
  • [25] Integration of a low-cost camera system for smart agriculture aboard tethered balloons and drones
    Toson, Federico
    AEROSPACE SCIENCE AND ENGINEERING, IV AEROSPACE PHD-DAYS 2024, 2024, 42 : 98 - 103
  • [26] Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera
    Jorge Tadeu Fim Rosas
    Francisco de Assis de Carvalho Pinto
    Daniel Marçal de Queiroz
    Flora Maria de Melo Villar
    Domingos Sárvio Magalhães Valente
    Rodrigo Nogueira Martins
    Precision Agriculture, 2022, 23 : 300 - 318
  • [27] Spring growth stage detection in Italian ryegrass field using a ground-based camera system
    Fan, Xinyan
    Kawamura, Kensuke
    Lim, Jihyun
    Yoshitoshi, Rena
    Yuba, Norio
    Lee, Hyo-Jin
    Kurokawa, Yuzo
    Tsumiyama, Yoshimasa
    GRASSLAND SCIENCE, 2016, 62 (03) : 188 - 193
  • [28] Coffee ripeness monitoring using a UAV-mounted low-cost multispectral camera
    Fim Rosas, Jorge Tadeu
    de Carvalho Pinto, Francisco de Assis
    de Queiroz, Daniel Marcal
    de Melo Villar, Flora Maria
    Magalhaes Valente, Domingos Sarvio
    Martins, Rodrigo Nogueira
    PRECISION AGRICULTURE, 2022, 23 (01) : 300 - 318
  • [29] WAHRSIS: A Low-cost, High-resolution Whole Sky Imager With Near-Infrared Capabilities
    Dev, Soumyabrata
    Savoy, Florian M.
    Lee, Yee Hui
    Winkler, Stefan
    INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XXV, 2014, 9071
  • [30] Effective Background Subtraction Algorithm for Food Inspection using a Low-Cost Near Infrared Camera
    Tumas, Paulius
    Serackis, Arturas
    2017 OPEN CONFERENCE OF ELECTRICAL, ELECTRONIC AND INFORMATION SCIENCES (ESTREAM), 2017,