A satellite data portal developed for crowdsourcing data analysis and interpretation

Zhenghui Hu, Wenjun Wu
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引用次数: 5

Abstract

Satellite data products derived from the remote sensing observations describe features of the land, ocean and atmosphere. And by data processing, they can be used to study processes and trends on local/global scale for real-time environmental research and applications. However, the advances of cutting-edge remote sensing technology bring the challenge of data deluge for satellite data analysis and interpretation. With combinations of human intelligence and machine intelligence, we develop a satellite data portal for crowdsourcing data analysis and interpretation through teaching and learning to cope with the overwhelming data deluge. Compared with all the existing data portals and crowdsourcing systems, it is the first attempt to embed crowdsourcing into a data portal to provide integrated services of satellite data access and analysis.
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为众包数据分析和解释开发了卫星数据门户
来自遥感观测的卫星数据产品描述了陆地、海洋和大气的特征。通过数据处理,它们可以用于研究本地/全球范围内的过程和趋势,以进行实时环境研究和应用。然而,尖端遥感技术的发展给卫星数据分析和解译带来了数据泛滥的挑战。结合人类智能和机器智能,我们开发了一个卫星数据门户,通过教与学的方式进行众包数据分析和解释,以应对势不可挡的数据洪流。与现有的所有数据门户和众包系统相比,这是第一次将众包嵌入到数据门户中,提供卫星数据接入和分析的综合服务。
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