{"title":"特别栏目特约编辑：将遥感、机器学习和数据科学融入空气质量管理","authors":"Kaixu Bai, Simone Lolli, Yuanjian Yang","doi":"10.1117/1.jrs.18.012001","DOIUrl":null,"url":null,"abstract":"Guest editors Kaixu Bai, Simone Lolli, and Yuanjian Yang introduce the Special Section on Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management.","PeriodicalId":54879,"journal":{"name":"Journal of Applied Remote Sensing","volume":"63 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Special Section Guest Editorial: Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management\",\"authors\":\"Kaixu Bai, Simone Lolli, Yuanjian Yang\",\"doi\":\"10.1117/1.jrs.18.012001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Guest editors Kaixu Bai, Simone Lolli, and Yuanjian Yang introduce the Special Section on Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management.\",\"PeriodicalId\":54879,\"journal\":{\"name\":\"Journal of Applied Remote Sensing\",\"volume\":\"63 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1117/1.jrs.18.012001\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1117/1.jrs.18.012001","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Special Section Guest Editorial: Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management
Guest editors Kaixu Bai, Simone Lolli, and Yuanjian Yang introduce the Special Section on Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management.
期刊介绍：
The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.
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