This chapter explores the revolutionary role of Unmanned Aerial Vehicles (UAVs) integrated with Internet of Things (IoT) platforms in disaster management, highlighting their potential to deliver real-time data collection and improve awareness during emergencies. It begins with an introduction to UAVs and IoT technologies, explaining their advancement and help in disaster scenarios with UAV-IoT networks being tested, emphasizing how these technologies detect anomalies and decision-making. A few adopted approaches for system architecture and data collection are given, explaining the use of algorithms such as YOLO and LSTM. This chapter also highlights the important obstacles while implementing UAV-enabled IoT devices, security and privacy, and network coverage. Guidelines for enhancing the use of these technologies in disaster management are given. Looking into the future, this chapter explains the possible improvements in AI, deep learning, and blockchain technology, which helps to improve UAV-IoT networks. It visualizes advanced applications like predictive analytics, autonomous UAV operations, and collaboration internationally, which enhance the efficiency and effectiveness of disaster response. This broad overview aims to realize and give insights into the current and future potential of UAV-enabled IoT platforms, highlighting their critical role in disaster management.