Hybrid Approach for Weather Prediction using Satellite Images
Basil Xavier S1, Shibin David2, Andrew J3, Isaac Joel Raj4
1Basil Xavier S, Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.
2Shibin David, Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.
3Andrew J, Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.
4Isaac Joel Raj, Department of Media & Communication, Karunya Institute of Technology and Sciences, Coimbatore, India.

Manuscript received on 09 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 2288-2292 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1247058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of the most powerful and important tools used by the meteorologist for weather forecasting is satellite images. Satellite images have always reassured forecasters the behavior of atmosphere as they provide facts that are clear, conscience and accurate representation of how events are unfolding. From satellite images some features will be extracted using image processing technique. The numerical method takes different parameters as input and forecasts weather using a computer to process the data. Equations used in this method will determine the precision of the forecast. In this paper, we are proposing a hybrid method for prediction by combing weather satellite image analysis with the numerical method which increases the accuracy.
Index Terms: Weather Forecasting, Satellite Images, Numerical Method, Image Processing

Scope of the Article: Signal and Image Processing