Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model by Lianchen Liu, Peiqing Wang, Libin Su, Feng Li

“…This study provides methodological insights for landslide risk assessment and disaster mitigation in resource-limited mountainous areas.…”
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Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

“…Furthermore, eastern regions are more prone to floods and land subsidence, whereas western areas face more significant risks from landslides and wildfires. Additionally, floods and land subsidence exhibit a considerable correlation, impacting each other’s occurrence, while wildfires and landslides demonstrate interacting dynamics, influencing each other’s likelihood of occurrence.…”
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Early detection of climate change-induced shallow landslides with IoT-technology by Robert Hofmann, Simon Berger, Lukas Wimmer

“…Abstract Climate change in the Alps is increasing winter rainfall and raising the snowline, thereby elevating the risk of shallow landslides and threatening infrastructure. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…With prediction errors maintained within 10% under complex experimental conditions, this model provides a robust tool for enhancing risk assessments and emergency planning in regions prone to landslide dam breaches.…”
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An Integrated Approach for Emergency Response and Long-Term Prevention for Rainfall-Induced Landslide Clusters by Wenxin Zhao, Yajun Li, Yunfei Huang, Guowei Li, Fukang Ma, Jun Zhang, Mengyu Wang, Yan Zhao, Guan Chen, Xingmin Meng, Fuyun Guo, Dongxia Yue

“…To address this challenge, this study proposes an integrated approach to support both emergency response and long-term mitigation for rainfall-induced shallow landslides. The workflow includes (1) rapid landslide detection based on time-series image fusion and threshold segmentation on the Google Earth Engine (GEE) platform; (2) numerical simulation of landslide runout using the R.avaflow model; (3) landslide susceptibility assessment based on event-driven inventories and machine learning; and (4) delineation of high-risk slopes by integrating simulation outputs, susceptibility results, and exposed elements. …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…On 15 September 2022, an extreme rainfall event affected the Misa River basin in the Marche region, Central-Eastern Italy, resulting in widespread hydrogeomorphological instability, including numerous landslides and debris flows. Understanding the distribution and characteristics of these failures is vital for post-event analysis and future risk mitigation. …”
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Dams Overtopping Scenarios from Catastrophic Landslides in Mountains’ Headwaters: Case Study in Kobe City, Japan by Christopher Gomez

“…As a Mw 8.0 Nankai Trough Earthquake is predicted with an 80% probability of occurrence within the next 30 years, the efficiency of check dams in the mountains above Kobe City is a crucial question when considering co-seismic landslide disaster risk management. In the present contribution, the author aimed to define which subsection of the Sumiyoshigawa watershed may be more prone to generate impacts downstream of Kobe City from catastrophic landslides in the headwaters. …”
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Validating and enhancing data-driven landslide susceptibility prediction by model explanation and MT-InSAR techniques by Miao Yu, Li Chen, Xuanmei Fan, Peifeng Ma, Shaojie Zhao, Zhongwang Wu, Fan Yang, Longwei Xu, Monan Shan, Xiao Xie, Haowei Zeng, Zhengjia Zhang

“…Most models are mere good fits to certain datasets and can produce unexpected bias in their prediction, misleading high-risk area zoning. To validate data-driven LSA, this study delved into the innate interactions between input landslide features and predictions by model explanation and compared feature permutation results with landslide statistical priors. …”
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MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms by Yuan Liang, Zhe Chen, Zhengbo Yu, Zhong Wang, Qingyun Ji, Ziqiong He, Dongsheng Zhong, Zhongchang Sun, Huadong Guo

“…The Loess Plateau, with its fragile ecological environment and frequent landslides, poses severe risks to both ecological safety and human life. …”
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Identification of Slip Surfaces Using Vertical Electrical Sounding Method in Desa Seumadam for The Study of Landslide-Prone Areas by Sabrian Tri Anda, Fajriani Fajriani, Haikal Fajri, Zul Fadhli, Muhammad Ari Fahril, Rachmad Almi Putra

“…It is believed that the study not only reveals the potential slip surface of the study area but also enhances the understanding of landslide mechanisms. The findings reveal valuable insights into the geological factors contributing to landslides, facilitating informed decision-making for landslide risk mitigation and land-use planning.…”
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Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks by Xiangqi Lei, Hanhu Liu, Zhe Chen, Shaoda Li, Hang Chen, Shuai Zeng, Xiao Wang, Wenqian Bai, Wei Li, Lorenzo Picco

“…Accurate assessment of landslide susceptibility is vital for risk prevention, yet existing methods often overlook remote but interconnected geographical features, leading to unreliable maps. …”
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Artificial intelligence and health empowerment in rural communities and landslide- or avalanche-isolated contexts: real case at a fictitious location by Rune Johan Krumsvik, Vegard Slettvoll

“…This case illustrates how AI and health technology can serve as a “virtual waiting room” for individuals in rural or landslide- and avalanche-isolated areas, especially when GP access is limited and the condition is low-risk, such as mild sore throat symptoms. …”
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SBAS-InSAR analysis for deformation monitoring in landslide-prone areas: A case study of Murang’a and Nyeri Counties in Kenya by Alex M. YUMBU, Patroba A. ODERA

“…These findings provide valuable insights for landslide risk assessment and mitigation strategies. …”
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Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China by Pinliang Li, Qiang Xu, Jialiang Liu, Fulin Zhang, Xu Ji, Dalei Peng, Chuanhao Pu, Wanlin Chen, Shuang Yuan, Chaoyang He

“…The findings provide valuable insights for managing rainfall-induced landslides, and can be applied to other areas with sparse rainfall data, offering a scientific basis for improved landslide prediction and risk management.…”
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TEORETHICAL EVALUATION OF ANTHROPOGENIC RISKS IN TAZLAU RIVER BASIN by LUMINITA BIBIRE, MIHAELA-BEATRICE BARBIERU, NARCIS BARSAN, ADRIAN STELIAN GHENADI

“…These all aspects led to frequent occurrence of risk events: erosions, landslides, degradation of the rivers beds, pollution of air, water, vegetation, soil, etc. …”
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Monitoring cultural heritage sites at risk using citizen engagement through crowdsourcing by K. Themistocleous, K. Themistocleous, V. Evripidou, K. Toumbas

“…The TRIQUETRA project addresses the critical challenge posed by climate change to cultural heritage sites by applying a comprehensive risk assessment framework. This framework integrates traditional and advanced technologies, including remote sensing and laser-based spectroscopy, to quantify the severity of risks, monitor their progression, and inform effective mitigation strategies. …”
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New horizons for managing ecoforests: Ecosystem-based disaster risk reduction and practices in Japan by Rašković Marijana

“…A Knowledge Co-Creation Program titled "Ecosystem-based Disaster Risk Reduction (Eco-DRR)" was held from September 10th to October 11th, 2024, organized by the Japan International Cooperation Agency (JICA). …”
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Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing by Tianchu Wang, Wentao Yang, Ziteng Xu, Wenwen Qi, Liam Taylor, Ming Wang, Wei Wu

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Climate change and its differential impact on sexual and reproductive health and rights among women in Nepal by Jagadishwor Ghimire, Jagadishwor Ghimire, Khusbu Poudel, Kritee Lamichhane, Amit Timilsina, Madhav Prasad Dhakal, Parash Prasad Phuyal, Sumanjari Pradhan, Jivan Devkota, Sujan Karki, Sujan Karki

“…BackgroundNepal is highly affected by climate change, experiencing glacier melting, untimely rainfall, floods, landslides, forest fires, and droughts, which collectively impact over 10 million people. …”
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Land use strategies for achieving Chile’s nationally determined contributions by Onil Banerjee, Martin Cicowiez, Gonzalo García-Trujillo, Kenneth J Bagstad, Sebastian Dudek, Justin Andrew Johnson, Elías Albagli, Mario Gonzalez, Maria Antonia Yung

“…Water-related ES would improve including the quality of potable water, while more water would be maintained within forested ecosystems, thereby reducing the future risk of natural hazards such as landslides and floods. …”
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