Semantic Enabled Cloud for Satellite Meteorological Data Processing

Abstract

Meteorological data is being captured regularly by our satellites. It can be utilized in multiple ways to obtain useful predictions and meaningful information. This domain contains many applications specific to user's demand such as rainfall prediction or solar prediction, but a generic framework is needed so that every application can be combined under one platform. This work involves huge amount of image processing and deploying some prediction and estimation mechanism which are extremely compute intensive. So this architecture is deployed on cloud computing for utilizing resources efficiently and smartly.