{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T11:46:16Z","timestamp":1778672776882,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Space Research and Innovation Network for Technology","award":["1243832"],"award-info":[{"award-number":["1243832"]}]},{"DOI":"10.13039\/501100004006","name":"Research Fund of the Istanbul Technical University","doi-asserted-by":"publisher","award":["MGA-2021-43018"],"award-info":[{"award-number":["MGA-2021-43018"]}],"id":[{"id":"10.13039\/501100004006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2021.3134127","type":"journal-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T20:53:45Z","timestamp":1639083225000},"page":"1-11","source":"Crossref","is-referenced-by-count":53,"title":["Soil Moisture Estimation Using Sentinel-1\/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing"],"prefix":"10.1109","volume":"60","author":[{"given":"Natalia","family":"Efremova","sequence":"first","affiliation":[{"name":"Saïd Business School, University of Oxford, Oxford, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed El Amine","family":"Seddik","sequence":"additional","affiliation":[{"name":"Laboratoire d’Informatique de l’Ecole Polytechnique (LIX), Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4208-7170","authenticated-orcid":false,"given":"Esra","family":"Erten","sequence":"additional","affiliation":[{"name":"Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3035989"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2015.10.025"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2859182"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2009.09.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3043628"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106118"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.06.035"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2018.08.007"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2019.100250"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.04.013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2464698"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3033887"},{"key":"ref13","first-page":"1","article-title":"A machine learning pipeline to predict vegetation health","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lees"},{"key":"ref14","article-title":"Modeling cloud reflectance fields using conditional generative adversarial networks","author":"Schmidt","year":"2020","journal-title":"arXiv:2002.07579"},{"key":"ref15","first-page":"1","article-title":"SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework","volume-title":"Proc. ICLR","author":"Foley"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3008096"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2891953"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture10100483"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3034344"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872131"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2681128"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3025601"},{"key":"ref23","article-title":"Autoencoding beyond pixels using a learned similarity metric","author":"Larsen","year":"2015","journal-title":"arXiv:1512.09300"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1007\/978-3-319-70139-4","article-title":"Unsupervised image-to-image translation networks","volume-title":"Advances in Neural Information Processing System","author":"Liu","year":"2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_13"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3000296"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7100389"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3023432"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref30","article-title":"Unsupervised image-to-image translation networks","author":"Liu","year":"2017","journal-title":"arXiv:1703.00848"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.20"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs10020236"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111952"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2020.1783713"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9553561"},{"key":"ref37","article-title":"Improved techniques for training GANs","volume-title":"Advances in Neural Information Processing Systems","volume":"29","author":"Salimans"},{"key":"ref38","first-page":"1","article-title":"A note on the inception score","volume-title":"Proc. NIPS","volume":"abs\/1801.01973","author":"Barratt"},{"key":"ref39","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Heusel"},{"key":"ref40","article-title":"HYPE: A benchmark for human eYe perceptual evaluation of generative models","author":"Zhou","year":"2019","journal-title":"arXiv:1904.01121"},{"key":"ref41","first-page":"3927","article-title":"Improved precision and recall metric for assessing generative models","volume-title":"Proc. NIPS","author":"Kynk\u00e4\u00e4nniemi"},{"key":"ref42","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2015","journal-title":"arXiv:1512.00567"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(82)90077-X"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3\u2013642-35142-6_14"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09643416.pdf?arnumber=9643416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T20:56:54Z","timestamp":1709326614000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9643416\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3134127","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}