{"title":"A satellite data portal developed for crowdsourcing data analysis and interpretation","authors":"Zhenghui Hu, Wenjun Wu","doi":"10.1109/eScience.2012.6404453","DOIUrl":null,"url":null,"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.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"58 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on E-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2012.6404453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.