Rainfall Prediction Model based on Radar Image Analysis Processing

Oudomseila Phok, Jiwan Lee, Bonghee Hong

2018

Abstract

The radar image represents the intensity of the rainfall measured at the observatory by the image pixel color value. It is the goal of this paper to find that the radar image values at a given point calculate the rainfall at a given time. Correlation analysis between radar images and rainfall data provided by rainfall gauges installed at very rare intervals is performed first. Based on this correlation analysis, we find out how to calculate the rainfall in the area where AWS is not installed by radar image. The biggest challenge of this paper is to find a predictive model of rainfall that takes into accounts the movement patterns of radar images affected by wind direction, wind speed, temperature and humidity.

Paper Citation

in Harvard Style

Phok O., Lee J. and Hong B. (2018). Rainfall Prediction Model based on Radar Image Analysis Processing.In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-296-7, pages 315-319. DOI: 10.5220/0006809903150319

in Bibtex Style

@conference{iotbds18,
author={Oudomseila Phok and Jiwan Lee and Bonghee Hong},
title={Rainfall Prediction Model based on Radar Image Analysis Processing},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2018},
pages={315-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006809903150319},
isbn={978-989-758-296-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Rainfall Prediction Model based on Radar Image Analysis Processing
SN - 978-989-758-296-7
AU - Phok O.
AU - Lee J.
AU - Hong B.
PY - 2018
SP - 315
EP - 319
DO - 10.5220/0006809903150319