The rapid growth in sensor observations results in copious satellite data, which makes information retrieval and decision making difficult tasks. Research addressing Decision Support Systems (DSS) for climatic change is needed. The traditional knowledge repositories work on static models but are challenged by dynamic fields. This paper presents a Sensor Observation Service (SOS) to analyze environmental conditions among south-eastern coastal areas of India. The challenges in an ocean observation system, like semantic heterogeneity and knowledge retrieval, are addressed using Semantic Web (SW) technology to present the data in a standard format. Similarly, the ocean knowledge base is provided by developing weather ontology for knowledge retrieval and DSS. This helps in analyzing the spatial data to provide data and knowledge to researchers, meteorologists and other users. The proposed approach has been experimentally tested on Indian Meteorological Satellite INSAT-3D’s ocean data collected along the south-eastern coastal areas of India.
