This research aims to advance flood risk management by integrating satellite data and urban hydrological models to enhance flood prediction and mitigation strategies. With urban areas facing increasing flood risks due to climate change and rapid urbanization, effective flood management is critical for protecting lives, infrastructure, and economies. This project will explore innovative methods to combine satellite-based remote sensing data with urban hydrological models to provide more accurate and timely flood risk assessments. Focusing on urban flood-prone regions, this study will utilize satellite imagery to monitor precipitation as well as land use and land cover (LULC) change, and hydrological models to simulate the flow of water through urban drainage systems. The integration of these tools will allow for the creation of advanced flood risk maps that can identify high-risk zones and predict flood behavior in real-time. This approach will facilitate better urban planning and more responsive flood management strategies, improving resilience against flood disasters. The project will be conducted in Japan, leveraging the country's sophisticated remote sensing technology and urban planning expertise. Lessons learned and methodologies developed will be adapted for application in Indonesia, a country with significant flood challenges. By fostering a collaboration between Japanese and Indonesian research institutions, this project aims to build a bridge for knowledge transfer and capacity building in flood risk management. The research findings will contribute to global flood management practices and support the development of early warning systems that can be scaled to other regions with similar urban hydrological characteristics. Ultimately, this project will support sustainable urban development and disaster risk reduction, enhancing the resilience of vulnerable urban communities.