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Conference Paper/Proceeding/Abstract 28 views

Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features

Marcela Antunes Meira Orcid Logo, Yunqing Xuan Orcid Logo, Han Wang

EGU General Assembly 2025, Vienna, Austria

Swansea University Author: Yunqing Xuan Orcid Logo

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DOI (Published version): 10.5194/egusphere-egu25-6708

Published in: EGU General Assembly 2025, Vienna, Austria
Published: Copernicus GmbH 2025
URI: https://cronfa.swan.ac.uk/Record/cronfa71175
first_indexed 2025-12-26T07:01:48Z
last_indexed 2026-01-17T05:33:35Z
id cronfa71175
recordtype SURis
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spelling 2026-01-16T15:47:27.5084850 v2 71175 2025-12-26 Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2025-12-26 ACEM Conference Paper/Proceeding/Abstract EGU General Assembly 2025, Vienna, Austria Copernicus GmbH 14 3 2025 2025-03-14 10.5194/egusphere-egu25-6708 Abstract COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2026-01-16T15:47:27.5084850 2025-12-26T04:09:51.5175276 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Marcela Antunes Meira 0000-0003-2392-572x 1 Yunqing Xuan 0000-0003-2736-8625 2 Han Wang 3
title Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
spellingShingle Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
Yunqing Xuan
title_short Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
title_full Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
title_fullStr Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
title_full_unstemmed Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
title_sort Using Unsupervised Learning to Explore Landslides Driving Factors from Topographic and Hydrological Catchment Features
author_id_str_mv 3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv 3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Yunqing Xuan
author2 Marcela Antunes Meira
Yunqing Xuan
Han Wang
format Conference Paper/Proceeding/Abstract
container_title EGU General Assembly 2025, Vienna, Austria
publishDate 2025
institution Swansea University
doi_str_mv 10.5194/egusphere-egu25-6708
publisher Copernicus GmbH
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 0
active_str 0
published_date 2025-03-14T05:33:25Z
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score 11.09611

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