{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:35:07Z","timestamp":1783434907212,"version":"3.54.6"},"reference-count":91,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH","award":["VAT number (UID): ATU74131236"],"award-info":[{"award-number":["VAT number (UID): ATU74131236"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3215209","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T20:53:09Z","timestamp":1667508789000},"page":"1-17","source":"Crossref","is-referenced-by-count":173,"title":["Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9664-8770","authenticated-orcid":false,"given":"Omid","family":"Ghorbanzadeh","sequence":"first","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6857-0152","authenticated-orcid":false,"given":"Yonghao","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1203-741X","authenticated-orcid":false,"given":"Pedram","family":"Ghamisi","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Kopp","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Kreil","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2021.145357"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3390\/rs13224698"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.sandf.2021.06.006"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-8152(01)00006-8"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2011.06.007"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/s10712-020-09609-1"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-017-0720-8"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/PRAI53619.2021.9551067"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3390\/rs11020196"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2951725"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.026"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.3390\/rs9060554"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-V-1-2022-187-2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116793"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2841808"},{"key":"ref30","article-title":"LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation","author":"wang","year":"2021","journal-title":"arXiv 2110 08733"},{"key":"ref37","first-page":"1","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-016-0763-x"},{"key":"ref35","article-title":"Regional analysis of distribution of pre and post 2015 Nepal earthquake landslides","author":"valagussa","year":"2016","journal-title":"Proc EGU Gen Assem Conf Abstr"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2017.01.030"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-020-01513-4"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3064981"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/rs11172046"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1177\/2053951716631130"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2021.106000"},{"key":"ref64","article-title":"Deep learning: A critical appraisal","author":"marcus","year":"2018","journal-title":"arXiv 1801 00631"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-021-01843-x"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00498"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-017-2757-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3140324"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0804042105"},{"key":"ref68","volume":"3","author":"bouysse","year":"2009","journal-title":"Geological map of the world at 1 50 000 000"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-018-1092-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-53498-5_107"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2006.04.007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/rs11020196"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/geosciences11080305"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015826"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2017.08.015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs11212575"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi8080321"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2009.06.004"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2980895"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1080\/20964471.2022.2031544"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030346"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2979693"},{"key":"ref58","article-title":"Landslide detection and mapping on synthetic aperture radar amplitude satellite imagery","author":"machielse","year":"2021"},{"key":"ref57","article-title":"Improving landslide detection on SAR data through deep learning","author":"nava","year":"2021","journal-title":"arXiv 2105 00782"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762307"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3043836"},{"key":"ref54","article-title":"Landslide segmentation with U-Net: Evaluating different sampling methods and patch sizes","author":"soares","year":"2020","journal-title":"arXiv 2007 06672"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/rs12050894"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3007183"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.earscirev.2012.02.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2484325"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs13163158"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2006.09.023"},{"key":"ref13","first-page":"36","article-title":"Landslides: investigation and mitigation. Chapter 3-landslide types and processes","volume":"247","author":"cruden","year":"1996","journal-title":"Transp Res Board Special Rep"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s22041320"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2963140"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref16","first-page":"209","article-title":"Recommendations for the quantitative analysis of landslide risk","volume":"73","author":"corominas","year":"2014","journal-title":"Bull Eng Geol Environ"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1080\/19475705.2021.1912196"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.earscirev.2016.08.011"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE50665.2020.9292057"},{"key":"ref83","article-title":"ContextNet: Exploring context and detail for semantic segmentation in real-time","author":"poudel","year":"2018","journal-title":"arXiv 1805 04554"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/geosciences11110469"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1002\/esp.4543"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-89015-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3123501"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-019-01207-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-94190-9"},{"key":"ref85","first-page":"801","article-title":"Encoder–decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-822544-8.00012-3"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref7","first-page":"31","article-title":"Economic losses, poverty & disasters: 1998–2017","author":"wallemacq","year":"2018"},{"key":"ref49","article-title":"Breaking the limits of remote sensing by simulation and deep learning for flood and debris flow mapping","author":"yokoya","year":"2020","journal-title":"arXiv 2006 05180"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.353"},{"key":"ref88","first-page":"1","article-title":"Speeding up semantic segmentation for autonomous driving","author":"treml","year":"2016","journal-title":"Proc Neural Inf Process Syst Workshops"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2954395"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3101203"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2889307"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3028855"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs12152487"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-020-01557-6"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9555000"},{"key":"ref44","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput -Assist Intervent"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09921261.pdf?arnumber=9921261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T19:43:32Z","timestamp":1669664612000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9921261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":91,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3215209","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}