20.500.12556/RUL-185520 Developing global web landslide observatory to support sustainable development and landslide risk reduction The use of digital technologies is becoming increasingly vital in complementing traditional methods for observing and understanding landslide events on a global scale. This article presents a novel framework for a global web Landslide Observatory powered by artificial intelligence (AI), designed to enhance early detection, monitoring, and response to landslide events. The proposed observatory leverages multilingual news streams, peer-reviewed scientific literature, and AI-related policy documents as dynamic data sources. By integrating natural language processing (NLP) the system enables real-time extraction, classification, and mapping of landslide events across diverse linguistic and geographic contexts. The observatory also incorporates policy-aware AI models to align with evolving global governance and ethical standards. This interdisciplinary approach aims to bridge gaps in traditional landslide monitoring systems, offering a scalable, inclusive, and policy-responsible tool for disaster risk reduction and environmental resilience. By supporting informed decision-making and timely action, the observatory contributes directly to several United Nations Sustainable Development Goals (SDGs), including Goal 6 (in water-related disasters), Goal 11 (on the resilience of Sustainable Cities and Communities), and Goal 13 (on Climate Change Preparedness). The global web Landslide Observatory is also a contribution to the IHP-IX Program (2022–2029) on Science for a Water Secure World in a Changing Environment, and to the Kyoto Landslide Commitment 2020. The global web Landslide Observatory is also a contribution to the new governance, asked by the last Global Assessment Report on Disaster Risk Reduction. landslide monitoring multilingual data integration natural language processing geospatial analysis disaster risk reduction capacity building monitoring zemeljskih plazov procesiranje naravnih jezikov prostorske analize zmanjševanje tveganja nesreč krepitev zmogljivosti večjezična integracija podatkov true false true Angleški jezik Slovenski jezik Drugo 2026-08-07 09:06:11 2026-08-07 09:06:21 2026-08-08 04:08:07 0000-00-00 00:00:00 2026 0 0 Str. 109–117 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 550.348.435:504.4 10.1007/978-3-032-18863-2_5 287203843 287194627 Mikos,_Pita_Costa-Developing_global_web_landslide_observatory_to_support_sustainable_development_and_landslide_risk_reduction.pdf Mikos,_Pita_Costa-Developing_global_web_landslide_observatory_to_support_sustainable_development_and_landslide_risk_reduction.pdf 1 12A8AE9CCFBCBC6A5BA0A80F954258CF 1c53cb8c79f48a5e7d525eea9db94343da3e35167c555da333654d38945860d3 8851702f-922e-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=244084 https://link.springer.com/chapter/10.1007/978-3-032-18863-2_5 1 2871c9ac-922e-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=244083 Fakulteta za gradbeništvo in geodezijo 0 0 0