Cyanobacterial harmful algal blooms (known as CyanoHABs) are a type of phytoplankton species that have increased in frequency around the world. Their proliferation in recent years has become a major issue worldwide due to their impact on the environment, socioeconomic activities, fauna, and humans. Many methods have been developed to monitor the occurrence of CyanoHAB events including satellite remote sensing, in-situ testing, and citizen monitoring applications. However, these methods fail to provide an accurate, real-time data for interested parties to verify the presence of CyanoHABs within water bodies. Thus, there is need to implement an early detection and warning response system for monitoring CyanoHABs. For this work, we propose that improvements can be made to the design of the original Cyanotracker system through development of an in-situ sensor system, social sensing approach, and use of satellite operations (communication and remote sensing) to monitor CyanoHAB events.