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ISSN: 2666-5921

Multiscale Comparison of Regional Rainfall-Induced Landslide Predictive Models: The Example of Hurricane Maria in Puerto Rico

Severe storms can trigger hundreds to thousands of landslides in mountainous regions, yet predicting rainfall-induced landslides across spatial scales remains challenging. Most existing hazard models...

Geospatial analysis of the 2019-20 desert locust damage in northern India using MODIS and VIIRS satellite data

Worldwide, locust outbreaks frequently impact large areas of land and millions of people. Remote sensing has emerged as one of the most essential data sources for effectively identifying and assessing...

Tracing fault systems from subsurface to surface in Yogyakarta and its surroundings, Indonesia

The Yogyakarta area and its surroundings have a reasonably high population density and disaster vulnerability. Appropriate mitigation is essential to reduce the impact of earthquakes in this region...

Spatial assessment of coastal erosion vulnerability: Natural and anthropogenic factors in Chattogram, Bangladesh

Bangladesh's coast, one of the world's most vulnerable, faces recurring natural disasters that cause significant casualties and damage. With rising sea levels and coastal hazards, assessing erosion...

Sampling strategies for machine learning-based linear erosion studies: a review approaching contributing area

Linear erosion is a major socio-environmental challenge, influenced by climatic, geomorphological and anthropogenic factors. This study explores how sampling strategies and topographic contributing...

Quantifying regional-scale flash flood susceptibility using watershed geomorphometry-based approach along the high range, west of Chiang Mai Basin, Northern Thailand

Flash floods, often triggered by intense, short-duration rainfall, are a significant natural hazard in Northern Thailand. This study targets the watersheds of the Thanon Thong Chai Range, a mountain...

Flood vulnerability assessment in Jamuna river floodplain: A Synthesis of multi-dimensional vulnerability indicators using geospatial and Fuzzy-AHP techniques

Flooding is a recurrent threat in low-lying areas of Bangladesh, requiring comprehensive assessment for effective disaster risk reduction. In this study, we developed a detailed spatial framework for...

Drought trends and Challenges in the MENA region: A systematic review

Drought is a multifaceted and destructive climatic event that profoundly affects ecosystems and human populations, especially in the Middle East and North Africa (MENA) region, known for its arid environment...

Evaluating the socio-economic risks of a potential GLOF from Dudh Pokhari lake in Nepal's Everest Region

Climate change has caused glacial retreat in the Himalaya, resulting in the rapid formation and expansion of glacial lakes and an increased risk of glacial lake outburst floods (GLOFs) that threatened...

Social vulnerability of Esquipulas Guayabal town in regard to hazards from El Chichón volcano, México

El Chichón, the most active volcano in the Chiapaneco Volcanic Arc of southeastern Mexico, erupted explosively in March–April 1982. The eruption caused extensive environmental destruction, significant...

A comprehensive inventory of landslides triggered by Typhoon Gaemi (July 2024) in Zixing, Hunan, China

Between 26 and July 28, 2024, extreme rainfall from Typhoon Gaemi triggered an event of catastrophic widespread landslides in Zixing, Hunan Province, China, causing substantial casualties and infrastructure...

Mapping and prioritization of adaptation measures for integrated flood and drought risks in the Bangkok Metropolitan Region

The Bangkok Metropolitan Region (BMR) faces significant flood and drought risks, necessitating effective adaptation measures. Although floods and droughts are two extremes of the hydrological cycle,...

Do natural hazard events and disasters trigger political and legislative change? A systematic scoping review of the impacts on commodity production

Food and fibre commodity production is fundamental to global food security and economic development. However, these commodities are vulnerable to different natural hazards. In this systematic scoping...

Comparative analysis of drought indices to characterize drought in agro-climatic zones of Assam, northeast region of India

Over the past two decades, Assam, a region prone to flooding, has seen frequent droughts due to reduced rainfall and rising temperatures. The study used different types of drought indices, including...

Optimized machine learning based model for the large-scale spatial prediction of landslides at Western Ghats in the State of Karnataka, India

The Western Ghats (WG) of India, as per National Disaster Management Authority (NDMA) statistics, is one of the most landslide-prone regions, with frequent monsoon-triggered landslips. Landslide susceptibility...

Enhancing the reliability of social vulnerability assessment to natural hazards through combined machine learning methods: A case study in Vietnam

Community risk from natural hazards depends on hazard, exposure, and vulnerability; therefore, effective risk reduction and resilience-building demand comprehensive scientific evaluations of vulnerability,...

Assessment of long-term spatiotemporal variability of vegetation drought and its link with teleconnection factors in Ethiopia

Vegetation drought, a pervasive natural hazard intensified by climate variability, threatens ecosystems and agriculture globally. Information concerning its spatiotemporal characteristics is essential...

Spline-based volume estimation of landslides using different DEMs: Case studies of the Kotropi and Prashar Lake landslides, Northwestern Himalaya

Landslides pose a significant threat to infrastructure, ecosystems, and human settlements in mountainous regions. Accurate estimation of landslide volume is crucial for hazard assessment and mitigation...

Future meteorological drought in Ethiopia using better performed ensemble Coupled Model Intercomparison Project 6 (CIMP6) climate models

Drought is a major hydro-meteorological hazard in Ethiopia, causing severe water shortages, loss of agricultural crops, and socio-economy challenges due to irregular precipitation and limited coping...

Impact of Land Use and Climate Change on Flood Hazards in the Gojeb River Catchment, Upper Omo-Gibe River Basin, Ethiopia

Flooding and other hydrological hazards pose serious threats to human life and ecosystems worldwide. The Gojeb River Catchment in southwestern Ethiopia is increasingly vulnerable due to land use/land...

Global Knowledge Structure and Research Trends in Geological Hazard Recovery: A Comprehensive Bibliometric Analysis (1980–2025)

Despite four decades of research on geological disaster recovery, its global knowledge structure remains poorly systematized. No comprehensive bibliometric analysis has specifically mapped the knowledge...

Leveraging Social Media Data for Disaster Management in the Era of Large Language Models

In the event of crises, social media provides comprehensive situational knowledge that can facilitate disaster management and response. However, extracting meaningful insights from social media data...

Integrating Advanced Machine Learning and AHP for Spatio-Temporal Glacier Lake Outburst Flooding (GLOF) Susceptibility Mapping: A Case Study in Pakistan’s Central Karakoram National Park (CKNP) from 2010 to 2024

GLOFs pose significant risks in CKNP, home to 608 glaciers, including Baltoro. Previous research struggled to integrate upstream, downstream, environmental, and anthropogenic factors due to data heterogeneity....

Analysis of the Compound Disaster Caused by Extreme Rainfall and Landslides in Sumatra, Indonesia in 2025 and Its Implications for Disaster Prevention and Mitigation

This study investigates the extreme rainfall–landslide–flood disaster chain in November 2025 on Sumatra Island, Indonesia. The event caused significant casualties and infrastructure damage, exposing...

HeritEdge: An Audit-Ready Mobile–Web Workflow for Municipal Exposure Inventories and Seismic Vulnerability Reporting

Reliable building-level exposure data remain a major bottleneck in municipal seismic risk assessment, particularly where inventories are fragmented, difficult to update, and weakly connected to quality-control...

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