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Conference Open access Aug 2026

Projecting Agricultural Vulnerability to Sea-Level Rise: A GIS-Based Multi-Criteria Evaluation Method

Agricultural vulnerability to sea-level rise (SLR) has attracted increasing attention due to its profound implications for food security and livelihoods. Kien Giang, the largest agricultural province in the Vietnamese Mekong Delta, has faced escalating challenges from climate change (CC), particularly SLR. This study u...

Hau Nguyen-Quoc, Minh-Tin Thai, M. Vo · 0 citations
Open access Sep 2026

Spatiotemporal Characterization of Drought and Flood Extremes Across Assam Using Multi-Scale Standardized Precipitation Index (1901–2024)

Abstract Significant challenges in water resources, agriculture, and disaster risk management arise from droughts and floods—the most common hydroclimatic extremes affecting people in Northeast India. Despite the traditional view of Assam as a flood-prone area, emerging evidence indicates a rising risk of droughts, hig...

Nitesh Bothra, S. Deka · 0 citations
Open access Sep 2026

Flood Vulnerability and Risk Assessment of Onitsha, Anambra State Using Remote Sensing and GIS: AHP Method

Flooding remains one of the most devastating natural hazards affecting both rural and urban communities in Nigeria, resulting in the loss of lives, destruction of property, disruption of socioeconomic activities, and environmental degradation. Onitsha, Anambra State, is particularly vulnerable to recurrent flooding due...

Adeboboye Aj, Aro E.-M., Onyedire Nj et al. · 0 citations
Open access Sep 2026

National-Scale Flood Susceptibility Mapping of Nigeria Using Statistical and Machine Learning Models with Satellite-Driven Validation for Data-Sparse Environments

Flooding is the most recurrent and economically devastating natural hazard in Nigeria, yet no standard or consistent nationwide assessment method exists. Spatially explicit flood susceptibility information also remains scarce, particularly given limited hydrometric monitoring. This study comparatively evaluates nationa...

Dorcas Idowu, J. Boakye, Wendy Zhou · 0 citations
#generative ai Open access Aug 2026

A Comprehensive Disaster Risk Analysis Model With GeoAI

A disaster risk analysis model coupling Geographic Information Systems, ensemble machine learning, and AI-driven interpretation tools, collectively termed GeoAI, to support multi-hazard risk assessment, resilience planning, and citizen-oriented risk communication.

M. Mete, Muhammed Yahya Bıyık, Zeynep Ceyda Karakaya · 0 citations
Open access Aug 2026

Flood-Prone Area Mapping Using the Integration of Hydrological Data and Google Earth Engine (GEE)

Flood susceptibility mapping that integrates hydrological and geospatial information remains limited at the sub-watershed scale, particularly in rapidly developing coastal urban areas. This study maps flood susceptibility in the Batang Kandis Sub-watershed, Padang City, by integrating hydrological data through Google E...

Firman Pindria, Jonni Mardizal · 0 citations

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