All Stories

  1. Deep neural network-based landslide hazard assessment and infrastructure exposure mapping: a case study of National Highway 279, Bac Kan province, Vietnam
  2. Landslide risk assessment using an integrated framework of machine learning algorithms and multi-criteria decision analysis
  3. Processing of Sentinel-1B imaginary to extract water surface salinity incursion using observed data and hybrid models of particle swarm optimization
  4. Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam
  5. Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques
  6. A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity
  7. A holistic approach to salinity intrusion vulnerability assessment using geospatial technologies: An application for mekong delta of vietnam
  8. Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms
  9. Integrating multi-hazard susceptibility and building exposure: A case study for Quang Nam province, Vietnam
  10. Evaluating Surface Water Salinity Indicators from Landsat-8 OLI Imagery Using Machine Learning
  11. Landslide spatial prediction utilizing fuzzy unordered rules induction ensemble models: a case study in Thai Nguyen, Vietnam
  12. Urban flood risk assessment using Sentinel-1 on the google earth engine: A case study in Thai Nguyen city, Vietnam
  13. Flash flood and landslide susceptibility analysis for a mountainous roadway in Vietnam using spatial modeling
  14. Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province
  15. An analysis of the relative variable importance to flood fatality using a machine learning approach
  16. Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process
  17. A machine learning approach in spatial predicting of landslides and flash flood susceptible zones for a road network
  18. A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam
  19. Mapping direct flood impacts from a 2020 extreme flood event in Central Vietnam using spatial analysis techniques
  20. GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam
  21. Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models
  22. Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam
  23. Flood risk assessment using deep learning integrated with multi-criteria decision analysis
  24. Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
  25. Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
  26. New approach of water quantity vulnerability assessment using satellite images and GIS-based model: An application to a case study in Vietnam
  27. Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam
  28. Analyzing Vietnam's national disaster loss database for flood risk assessment using multiple linear regression-TOPSIS
  29. Analyzing Flood Fatalities in Vietnam Using Statistical Learning Approach and National Disaster Database
  30. Flood risk management activities in Vietnam: A study of local practice in Quang Nam province
  31. A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis
  32. Assessing flood hazard using flood marks and analytic hierarchy process approach: a case study for the 2013 flood event in Quang Nam, Vietnam
  33. Analysing flood fatalities in Vietnam using national disaster database and tree-based methods
  34. Balancing costs and benefits in Vietnam’s hydropower industry: a strategic proposal