<p>Flooding is an environmental problem with global consequences, affecting millions of people and causing extensive damage to infrastructure and ecosystems. Nigeria is one of the countries that experiences frequent flooding due to heavy rainfall and poor drainage systems. The government has been working on implementing better flood management strategies to mitigate the impact on communities and improve disaster response efforts. This review presents an overview of the strategies used in Nigeria for flood monitoring and evaluation. The review also indicates a global shift in modeling from physical to an advanced data-driven approach in the effort to improve the accuracy and timeliness of flood forecasting. Whereas in Nigeria, traditional methods such as river gauges and satellite imagery are still commonly used, although there is a growing recognition of the importance of incorporating technology and data analytics for more effective flood management in studies around the southern part of Nigeria. Incorporating technology and data analytics can enhance the efficiency of flood management by providing real-time data and more accurate predictions. By embracing these advanced approaches, Nigeria can better prepare for and respond to future flood events, ultimately reducing the impact on communities and infrastructure.</p>