{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T00:24:49Z","timestamp":1725755089997},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T00:00:00Z","timestamp":1720310400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T00:00:00Z","timestamp":1720310400000},"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":[[2024,7,7]]},"DOI":"10.1109\/igarss53475.2024.10642069","type":"proceedings-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T17:56:13Z","timestamp":1725558973000},"page":"738-742","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal-Ready Sentinel Dataset for Natural Hazards Supervised Learning"],"prefix":"10.1109","author":[{"given":"Ion","family":"Grujdin","sequence":"first","affiliation":[{"name":"University Politehnica of Bucharest,CEOSpaceTech,Romania"}]},{"given":"Mihai","family":"Datcu","sequence":"additional","affiliation":[{"name":"University Politehnica of Bucharest,CEOSpaceTech,Romania"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554255"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2449668"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3089174"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102926"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3264610"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs15071878"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20795-2_3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5311\/JOSIS.2020.20.645"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5194\/essd-15-113-2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3024744"},{"journal-title":"SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery","year":"2023","author":"Guo","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/13658810600965271"},{"key":"ref13","article-title":"Toponym Resolution in Text Annotation, Evaluation and Applications of Spatial Grounding of Place Names","volume-title":"Institute for Communicating and Collaborative Systems School of Informatics University of Edinburgh","author":"Leidner","year":"2007"},{"volume-title":"CRED \/ UCLouvain","key":"ref14","article-title":"EM-DAT"},{"year":"2015","key":"ref15","article-title":"Global Administrative Unit Layers (GAUL) [Data set]"},{"year":"2022","key":"ref16","article-title":"GADM database of Global Administrative Areas, version 4.1"},{"journal-title":"Geocoded disaster (GDIS) dataset","year":"2021","author":"Rosvold","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00846-6"},{"volume-title":"Standard country or area codes for statistical use (M49) (Series M, No. 49)","year":"1999","key":"ref19"},{"year":"2023","key":"ref20","article-title":"FAO-REGION-MAPPING. Codes for Hierarchical Administrative Subdivisions"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4103\/jehp.jehp_1525_20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1160633.1160803"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app112210770"},{"key":"ref24","article-title":"A survey of ontology learning methods and techniques","author":"G\u00f3mez-P\u00e9rez","year":"2003","journal-title":"OntoWeb Consortium"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.02.016"},{"article-title":"Second Administrative Level Boundaries (SALB) [Data set]","year":"2023","author":"Nations","key":"ref26"},{"article-title":"A Relational Learning Approach for Collective Entity Resolution","volume-title":"CEUR Workshop Proceedings","author":"Costa","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/13658810600965271"}],"event":{"name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2024,7,7]]},"location":"Athens, Greece","end":{"date-parts":[[2024,7,12]]}},"container-title":["IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10640349\/10640352\/10642069.pdf?arnumber=10642069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:39:16Z","timestamp":1725687556000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10642069\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,7]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/igarss53475.2024.10642069","relation":{},"subject":[],"published":{"date-parts":[[2024,7,7]]}}}