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  1. Article

    Open Access

    Map** and characterising buildings for flood exposure analysis using open-source data and artificial intelligence

    The map** and characterisation of building footprints is a challenging task due to inaccessibility and incompleteness of the required data, thus hindering the estimation of loss caused by natural and anthrop...

    Kushanav Bhuyan, Cees Van Westen, Jiong Wang, Sansar Raj Meena in Natural Hazards (2023)

  2. Article

    Open Access

    Landslide displacement forecasting using deep learning and monitoring data across selected sites

    Accurate early warning systems for landslides are a reliable risk-reduction strategy that may significantly reduce fatalities and economic losses. Several machine learning methods have been examined for this p...

    Lorenzo Nava, Edoardo Carraro, Cristina Reyes-Carmona, Silvia Puliero in Landslides (2023)

  3. Article

    Open Access

    Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data

    Map** of landslides over space has seen an increasing attention and good results in the last decade. While current methods are chiefly applied to generate event-inventories, whereas multi-temporal (MT) inven...

    Kushanav Bhuyan, Hakan Tanyaş, Lorenzo Nava, Silvia Puliero in Scientific Reports (2023)

  4. No Access

    Article

    Landslide susceptibility assessment based on multi GPUs: a deep learning approach

    Landslide is a major natural hazard causing losses of human lives and properties. Therefore, it is significant to assess landslide susceptibility. This paper proposed an assessment model for landslide suscepti...

    Chuliang Guo, **xia Wu, Shuaihe Zhao in CCF Transactions on High Performance Compu… (2022)

  5. Article

    Open Access

    Landslide detection in the Himalayas using machine learning algorithms and U-Net

    Event-based landslide inventories are essential sources to broaden our understanding of the causal relationship between triggering events and the occurring landslides. Moreover, detailed inventories are crucia...

    Sansar Raj Meena, Lucas Pedrosa Soares, Carlos H. Grohmann, Cees van Westen in Landslides (2022)

  6. No Access

    Chapter

    The Vulnerability of Human Population to Landslide Disaster: A Case Study of Sikkim Himalayas

    The present study focuses on the Rani Khola River basin (RRB) in North East India’s state Sikkim. It is a tributary of the Teesta River and is naturally prone to landslide hazards. For the past few decades, RR...

    Harjeet Kaur, Raju Sarkar, Srimanta Gupta in Impact of Climate Change, Land Use and Lan… (2022)

  7. Article

    Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data

    The Himalayan rivers are vulnerable to devastating flooding caused by landslides and outbreak of glacial lakes. On 7 February 2021, a deadly disaster occurred near the Rishi Ganga Hydropower Plant in the Rishi...

    Sansar Raj Meena, Akshansha Chauhan, Kushanav Bhuyan in Environmental Earth Sciences (2021)

  8. Article

    Open Access

    Rapid map** of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach

    Rainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScop...

    Sansar Raj Meena, Omid Ghorbanzadeh, Cees J. van Westen in Landslides (2021)