{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T18:56:01Z","timestamp":1769885761362,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,17]]},"DOI":"10.1109\/igarss46834.2022.9884163","type":"proceedings-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T20:12:24Z","timestamp":1664395944000},"page":"6606-6609","source":"Crossref","is-referenced-by-count":3,"title":["Downscaling of Satellite Air Quality Data Using Deep Learning\u00a1"],"prefix":"10.1109","author":[{"given":"Andrea","family":"Rapuzzi","sequence":"first","affiliation":[{"name":"A-SIGN,Italy"}]},{"given":"Cristiano","family":"Nattero","sequence":"additional","affiliation":[{"name":"FadeOut Software,Italy"}]},{"given":"Marco","family":"Menapace","sequence":"additional","affiliation":[{"name":"FadeOut Software,Italy"}]},{"given":"Paolo","family":"Campanella","sequence":"additional","affiliation":[{"name":"FadeOut Software,Italy"}]},{"given":"Linda","family":"Cademartori","sequence":"additional","affiliation":[{"name":"Università degli Studi di Genova"}]},{"given":"Carola","family":"Lomonaco","sequence":"additional","affiliation":[{"name":"Università degli Studi di Genova"}]}],"member":"263","reference":[{"key":"ref10","year":"0","journal-title":"Copernicus atmosphere monitoring service (cams) european air quality reanalyses"},{"key":"ref11","year":"0","journal-title":"Copernicus atmosphere monitoring service (cams) european air quality reanalyses"},{"key":"ref12","year":"0","journal-title":"Web advanced space developer interface"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554498"},{"key":"ref14","year":"0","journal-title":"Agenzia regionale per la protezione dell'ambiente ligure (arpal)"},{"key":"ref15","author":"yakubovskiy","year":"2020","journal-title":"Segmentation Models Pytorch"},{"key":"ref16","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref17","article-title":"Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters","volume":"2","author":"bridle","year":"1990","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97982-3_16"},{"key":"ref4","year":"0","journal-title":"European Centre for Medium-Range Weather Forecasts (ECMWF)"},{"key":"ref3","year":"0","journal-title":"European Space Agency"},{"key":"ref6","year":"0","journal-title":"Sentinel-5P"},{"key":"ref5","year":"0","journal-title":"Copernicus atmosphere monitoring service (cams)"},{"key":"ref8","year":"0","journal-title":"Fine Par-ticles (PM 2 5) Questions and Answers"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/qj.3803"},{"key":"ref2","year":"0","journal-title":"AI4EO Air Quality & Health challenge"},{"key":"ref1","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"iii","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref9","year":"0","journal-title":"Integrated science assessment for oxides of nitrogen-healthcriteria epa\/600\/r-15\/068"},{"key":"ref20","first-page":"59","article-title":"Root mean square","author":"kenney","year":"1962","journal-title":"Mathematics of statistics Princeton NJ Van Nostrand"},{"key":"ref22","first-page":"381","article-title":"Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping","author":"caruana","year":"0","journal-title":"Proceedings of the 13th International Conference on Neural Information Processing Systems"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.3390\/info11020125","article-title":"Albumentations: Fast and flexible image augmentations","volume":"11","author":"buslaev","year":"2020","journal-title":"Information"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015"}],"event":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","location":"Kuala Lumpur, Malaysia","start":{"date-parts":[[2022,7,17]]},"end":{"date-parts":[[2022,7,22]]}},"container-title":["IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9883023\/9883024\/09884163.pdf?arnumber=9884163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:52:40Z","timestamp":1665780760000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9884163\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/igarss46834.2022.9884163","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}