Environmental Evaluation of Seto Inland Sea by Remote Sensing

最近，酸雨问题、温室效应、臭氧层破坏等各种环境问题成为人们关注的焦点，因为这些问题对我们未来的生活非常严重。本研究以濑户内海为研究对象，利用遥感资料进行环境评价。特别是，从全球环境的角度来看，温室效应问题已经变得非常重要。对于这样的问题，遥感技术适合于获得大范围的环境情况。但是为了得到环境状况的二维图像，我们需要表面上的环境数据，这些数据被称为大真值数据。因此，我们于1990年收集了分布在中国和四国地区的濑户内海水污染数据，并建立了地面真实数据数据库。然后在1991年，我们利用遥感分析和地面真值数据对濑户内海LANDSAT TM数据进行了分析。最后，在1992年，我们讨论了获得的图像与地面真实数据之间的误差。此外，为了获得比传统贝叶斯方法更精确的分类结果，我们引入了一种新的基于神经网络的遥感方法。

Recently, various environmental problems such as acid rain problem,green house effect, and ozonn layer damage have been focused on sice those problems are serious for our lives in the future. In this study, we have considered environmental evaluation in Seto Inland Sea by remote sensing data analysis. Especially, a green house effect problem has become important from global environmental viewpoints. For such a problem, the remote sensing technique is suitable for getting an environmental situation in a wide, range. But in order to get the environmental situation as a two-dimensional image, we need the environmental data on the surface, which are called grand truth data. Therefore, in 1990 we have gathered the water pollution data in Seto Inland Sea which have been distributed in Chugoku or Shikoku areas and constructed the data base about the ground truth data. Then in 1991 we have analysed the LANDSAT TM data in Seto Inland Sea by using the remote sensing analysis and ground truth data. Finally, in 1992 we have discussed the error between the obtained image and the ground truth data. Furthermore, we have introduced a new remote sensing method based on neural networks in order to obtain more precise classification results compared with a conventional Bayesian method.