Harmful Algal Blooms (HABs) are known to be a natural phenomenon that is caused due to the cell growth of multiple phytoplankton species, which were present in both seawater and freshwater environments. These HABs severely impact fish mortalities, human health, environment and tourism, and economic fields. The detection and prediction of HABs over the Indian Ocean are needed. High-resolution satellite imagery MODIS and GEBCO bathymetry data provide an excellent opportunity to detect and predict HABs in spatial and temporal scales. In this paper, algal blooms identification using MODIS satellite data during 24 January 2004 and 1 August 2016 over the Indian ocean. It is evident that algal blooms are frequent in the Arabian Sea as compared eastern region of India. The outcome of this work would help apply machine learning algorithms for understanding the spatial–temporal variability of Algal blooms.