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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data

Author 1: Kohei Arai Author 2: Yuichi Sarusawa
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 3 · Published 2013

DOI: https://doi.org/10.14569/IJACSA.2013.040304

Abstract

Regression analysis based method for turbidity and ocean current velocity estimation with remote sensing satellite data is proposed. Through regressive analysis with MODIS data and measured data of turbidity and ocean current velocity, regressive equation which allows estimation of turbidity and ocean current velocity is obtained. With the regressive equation as well as long term MODIS data, turbidity and ocean current velocity trends in Ariake Sea area are clarified. It is also confirmed that the negative correlation between ocean current velocity and turbidity.

Keywords

How to Cite this Article

Arai, K., & Sarusawa, Y. (2013). Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data. International Journal of Advanced Computer Science and Applications, 4(3). https://doi.org/10.14569/IJACSA.2013.040304

Arai, Kohei, and Yuichi Sarusawa. "Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data." International Journal of Advanced Computer Science and Applications, vol. 4, no. 3, 2013, https://doi.org/10.14569/IJACSA.2013.040304.

@article{Arai2013,
  title     = {Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Yuichi Sarusawa},
  doi       = {10.14569/IJACSA.2013.040304},
  url       = {https://doi.org/10.14569/IJACSA.2013.040304}
}

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