Towards an IoT-Enabled Digital Earth for SDGs: The Data Quality Challenge

被引:0
|
作者
Syed, M. S. B. [1 ,2 ,3 ]
Kelly, Paula [1 ,2 ]
Stacey, Paul [2 ,3 ,4 ]
Berry, Damon [1 ,2 ,3 ]
机构
[1] Technol Univ Dublin, Sch Elect & Elect Engn, Dublin 7, Ireland
[2] Technol Univ Dublin, Sustainabil & Hlth Res Hub, Dublin 7, Ireland
[3] Univ Coll Cork, Sci Fdn Ireland Ctr Res Training Adv Networks Sust, Cork 21, Dublin T12 R5CP, Ireland
[4] Technol Univ Dublin, Sch Mech Engn, Dublin 7, Ireland
来源
IEEE ACCESS | 2024年 / 12卷
基金
爱尔兰科学基金会;
关键词
Earth; Data integrity; Sustainable development; Decision making; Internet of Things; Geospatial analysis; Data visualization; Reviews; Satellite images; Digital earth; data quality; environmental monitoring; sustainable development goals; ANIMAL-BORNE TELEMETRY; BIG DATA; INTERNET; MANAGEMENT; SYSTEMS; TEMPERATURE; INTEROPERABILITY; VARIABLES; TRACKING; INSIGHTS;
D O I
10.1109/ACCESS.2024.3478813
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has shown promising results in aiding decision-making for a sustainable world, raising awareness about individual impacts on our planet, and supporting the United Nations Sustainable Development Goals (UN SDGs) agenda. However, both DE and SDGs face a common obstacle: Data Quality (DQ). This review investigates the challenge of DQ in the context of DE for SDGs and explores how IoT can address this challenge and extend the reach of DE to support SDGs. Furthermore, the study discusses three core aspects; first, the potential of IoT as a data source that supplements satellite data for DE for SDGs, second, the DQ challenge that is specific to an IoT-enabled DE for SDGs is illustrated through scenarios identified from the literature, and third, solutions and perspectives that address the DQ challenge. This study underscores the necessity of addressing the DQ challenge and discusses some potential solutions to foster effective interdisciplinary collaboration, knowledge sharing, and data reusability. The study provides a viewpoint for understanding and addressing the DQ challenge for an IoT-enabled DE for SDGs to support the UN SDGs agenda for a sustainable world by 2030.
引用
收藏
页码:153421 / 153438
页数:18
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