{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:48Z","timestamp":1772119908970,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"DeepChange","award":["ANR-DeepChange"],"award-info":[{"award-number":["ANR-DeepChange"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/jstars.2024.3358066","type":"journal-article","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T18:30:16Z","timestamp":1706207416000},"page":"4350-4367","source":"Crossref","is-referenced-by-count":27,"title":["Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0182-2004","authenticated-orcid":false,"given":"Iris","family":"Dumeur","sequence":"first","affiliation":[{"name":"CESBIO, Universit&#x00E9; de Toulouse, Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5001-9450","authenticated-orcid":false,"given":"Silvia","family":"Valero","sequence":"additional","affiliation":[{"name":"CESBIO, Universit&#x00E9; de Toulouse, Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6896-0049","authenticated-orcid":false,"given":"Jordi","family":"Inglada","sequence":"additional","affiliation":[{"name":"CESBIO, Universit&#x00E9; de Toulouse, Toulouse, France"}]}],"member":"263","reference":[{"issue":"4","key":"ref1","article-title":"Earth observation open science: Enhancing reproducible science using data cubes","volume-title":"Data","volume":"4","author":"Giuliani","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2011.2179050"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs12111781"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12152495"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2022.3198244"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs14163995"},{"key":"ref8","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Goodfellow","year":"2014"},{"key":"ref9","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. 2nd Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100152"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3147513"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3218795"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs14184632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.11.020"},{"key":"ref15","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Devlin","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2020.3036602"},{"key":"ref18","article-title":"Sits-former: A pre-trained spatio-spectral-temporal representation model for sentinel-2 time series classification","volume-title":"Int. J. Appl. Earth Observ. Geoinformation","volume":"106","author":"Yuan","year":"2022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00483"},{"key":"ref20","first-page":"635","article-title":"Multisenge: A multimodal and multitemporal benchmark dataset for land use\/land cover remote sensing applications","volume-title":"ISPRS Ann. Photogrammetry Remote Sens. Spatial Inf. Sci.","volume":"V-3-2022","author":"Wenger","year":"2022"},{"key":"ref21","article-title":"Unlabeled sentinel 2 time series dataset: Self-supervised spatio-temporal representation learning of satellite image time series","author":"Dumeur","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050523"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1516313"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2017.2728698"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7040129"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2018.2794581"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs10081217"},{"key":"ref28","first-page":"156","article-title":"Assessing the robustness of random forests to map land cover with high resolution satellite image time series over large areas","volume-title":"Remote Sens. Environ.","volume":"187","author":"Pelletier","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2018.2876357"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.01.011"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2018.2863224"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554573"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010075"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.006"},{"key":"ref35","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01234"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65742-0_12"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs15030618"},{"key":"ref39","article-title":"Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery","author":"Ruwurm","year":"2018"},{"key":"ref40","first-page":"6247","article-title":"Time-space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series","volume-title":"Proc. IEEE Int. Geosci. Remote Sens. Symp.","author":"Fare","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref42","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01004"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_32"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/jstsp.2022.3207050"},{"key":"ref46","article-title":"SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cong","year":"2022"},{"issue":"4","key":"ref47","article-title":"Validation of copernicus sentinel-2 cloud masks obtained from maja, sen2cor, and fmask processors using reference cloud masks generated with a supervised active learning procedure","volume-title":"Remote Sens.","volume":"11","author":"Baetens","year":"2019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-v-3-2022-635-2022"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref50","article-title":"French spatial agency data processing centre","year":"2019"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/10330207\/10414422.pdf?arnumber=10414422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T17:42:16Z","timestamp":1742233336000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10414422\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/jstars.2024.3358066","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}