Satellite remote sensing technique has been used to detect and monitor red tide events in China since 1990s. In this paper we present the algorithms developed for extracting information about red tide events from NOAA AVHRR and Seastar SeaWiFS sensors. These algorithms include the multi-band ratio algorithms based on the spectral characteristics of the coastal waters, the ocean color-temperature algorithm that depends on the reflectance and temperature of the red tide waters, and the neural network model that employs the neural networks. The applications of the satellite remote sensing technique are given to the information extraction of the time (start and duration), the location and the spatial extent of the red tide events for red tide management and mitigation. Some examples are presented.