Year: 2021
Type: article
Abstract: Flooding has become one of the most frequent and devastating natural hazards worldwide, particularly in regions experiencing rapid urbanization, unregulated land use, and climate variability. Its impacts extend beyond the immediate destruction of property and infrastructure to long-term socio-economic disruptions, public health crises, and environmental degradation. Understanding spatial patterns of flood vulnerability is therefore essential for effective disaster risk management, sustainable urban planning, and community resilience building. Remote sensing and Geographic Information Systems (GIS) have emerged as powerful tools in this regard, providing high-resolution, multi-temporal data that can be integrated into vulnerability assessments. Through the use of satellite imagery and digital elevation models, remote sensing enables the identification of hydrological features, drainage networks, land cover changes, and flood-prone areas. When combined with ArcGIS, these datasets allow researchers to develop vulnerability indices by integrating biophysical and socio-economic variables such as slope, soil type, rainfall intensity, population density, and infrastructure distribution. ArcGIS-based spatial modeling provides a platform for mapping areas of high, medium, and low vulnerability, creating outputs that are both analytical and visually interpretable for decision-makers. Applying this integrated approach to flood-prone regions enables the development of precise vulnerability maps that can guide risk reduction strategies, emergency preparedness, and urban policy interventions. By capturing both natural and anthropogenic drivers, geospatial mapping enhances early warning systems, supports allocation of resources, and promotes evidence-based planning. The study underscores the necessity of mainstreaming geospatial technologies into flood risk management frameworks, ensuring that communities are better equipped to withstand the increasing threat of flooding.
Authors: Eniola Onatayo, Olumide Adelesi
Institution: Bells University of Technology
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413795183