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

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.

Authors and Affiliations

Kohei Arai , Yuichi Sarusawa

Keywords

Related Articles

 A Schema for Generating Update Semantics

 In this paper, we present a general schema for de ning new update semantics. This schema takes as input any basic logic programming semantics, such as the stable semantics, the p-stable semantics or the MMr semanti...

Classification of Image Database Using Independent Principal Component Analysis

The paper presents a modified approach of Principal Component Analysis (PCA) for an automatic classification of image database. Principal components are the distinctive or peculiar features of an image. PCA also holds in...

Usability Testing for Crop and Farmer Activity Information System

Information System usability level depends on acceptance and system convenience to be run by users. One of the methods to measure usability level is by conducting usability testing. This article elaborates usability test...

A QoS Solution for NDN in the Presence of Congestion Control Mechanism

Both congestion control and Quality of Service (QoS) are important quality attributes in computer networks. Specifically, for the future Internet architecture known as Named Data Networking (NDN), solutions using hop-by-...

Secure Medical Internet of Things Framework based on Parkerian Hexad Model

Medical Internet of Things (MIoT) applications enhance medical services by collecting data using devices connected to the IoT. The collected data, which may include personal data and location, is transmitted to mobile de...

Download PDF file
  • EP ID EP130579
  • DOI 10.14569/IJACSA.2013.040304
  • Views 119
  • Downloads 0

How To Cite

Kohei Arai, Yuichi Sarusawa (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 & Applications, 4(3), 20-25. https://www.europub.co.uk/articles/-A-130579