Advancing Disaster Management through Remote Sensing: Applications, Challenges, and Future Prospects

Abstract

The increasing occurrence and intensity of natural disasters, driven by factors such as climate change and urbanization, emphasize the urgent requirement for advanced monitoring and management approaches. This study investigates the critical function of remote sensing technologies in disaster management, concentrating on their application across various natural disasters, including earthquakes, floods, landslides, tropical cyclones, wildfires, and droughts. By utilizing satellite, aerial, and ground-based remote sensing techniques, this research illustrates how these technologies enhance real-time monitoring, early warning systems, and recovery efforts following disasters. The results demonstrate that remote sensing provides considerable benefits, such as extensive coverage and the capability to access otherwise unreachable areas, although challenges persist regarding data resolution and integration. Additionally, the study explores future potential, particularly the integration of remote sensing with artificial intelligence and big data analytics. These advancements highlight the essential role of remote sensing in global disaster risk reduction, offering critical insights for policymakers and disaster management professionals.