For the purpose of improvement of the stability of classification results of multi-temporal images using supervised maximum likelihood classification method, the author proposed a classification method combining the method by unifying training data sets of two temporal images with the method using multi-layer classification images. By the experiment using LANDSAT/MSS image and MOS-1/MESSR image taken almost at the same time, the occupation rate of classification classes was proved to become stable by normalization of two temporal images and unification of both training data sets, although the pixel-wise class coincidence rate was very poor. The classification method using dual multi-layer classification images was proved to achieve very high pixel-wise coincidence rate and also make class occupation rate more stable. The experiment using two or three multi-temporal images proved that the proposed methods can be used effectively in order to obtain stable classification patterns and class occupation rates among the temporal images, which brings a reasonable result for landcover change extraction.
World population has doubled in the past 40 years and is now 5 billion. It is estimated to double again in the next 50 years, reaching 10 billion. On the other hand, the annual extension rate of arable land is below 1 %, a rate of growth much lower than that of the population growth. And the yield of cereals had been growing steadily from 1970 to 1985. Since the areas harvested have been constant for this period, the increase in the yield must le attributed to growing productivity. The growth rate of world population is lower than that of world GDP. Consequently, the impact on the global environment by human economic activities is much stronger than the population increase. This study deals with the role of satellite remote sensing for monitoring the global environment on a global scale, and the analysis of world vegetation, potential arable land area and potential food production. Based on the above results, the total population the earth can feed will be calculated. And we try to consider the relation between global environment and population.
This research has been carried out to develop a method for effective using of the images of ERS-1, which has been launched in February 1992 in Japan. An experiment of lineament extraction from four pairs of stereoscopic images with different B/H ratio (0.1, 0.3, 0.5 and 1.0) has been executed at two kinds of areas-steep slope area and gentle slope area. The results of this experiment show that the most suitable B/H ratio for lineament extraction is different according to the steepness of the slope of test areas. 0.5 is the best B/H ratio at steep slope area (Izu peninsula), while 1.0 is the best at gentle slope area (Hishikari district) . Based on the results of this experiment, a new image analysis method has been developed. In this method, images are at first changed into stereoscopic images with the most suitable B/H ratio at the area, and then overlaid and displayed on a 3D display. Many useful informations can be extracted from these overlaid stereoscopic images.