As the frequency of cyanobacterial harmful algal bloom (CyanoHABs) become more common across recreational and water supply lakes and reservoirs, demand for rapid detection and temporal monitoring will be imminent for effective management. This study demonstrated a multi-satellite based protocol for synoptic monitoring of rapidly evolving CyanoHABs across Earths inland waters. The analysis involved a novel way to cross-calibrate a chlorophyll-a (Chl-a) detection model for NASAs Landsat-8 OLI sensor from the relationship between the normalized difference chlorophyll index (NDCI) and the floating algal index (FAI) derived from ESAs Sentinel-2A platform on a coinciding overpass date during the summer 2016 CyanoHAB bloom event in Utah Lake. This cross satellitebased monitoring method can be a great tool for regular monitoring and will reduce the budget cost for monitoring and predicting CyanoHABs in large lakes.