In this study, we calculated the difference quantity of the DSM of before defoliation, while defoliation, and after defoliation using time series airborne laser scanner, and we tried to estimate the stratification in deciduous broadleaved forest by grasp of the growth and the covering situation of subtree layer, shrub layer, and herb layer from the amount of change of DSM. The target area of this study was set to Zelkova serrata forest and cherry forest (Prunus yedoensis etc.) in Tama Forest Science Garden. As a result, it was able to be divided 4 stratification types that deciduous broadleaved tree layer in which the understory vegetation does not develop, deciduous broadleaved tree layer in which shrub layer and herb layer develop, deciduous broadleaved tree layer in which subtree layer and shrub of evergreen broadleaved tree develop, and evergreen broadleaved tree layer (Quercus glauca mainly) .
A forest species classification method based on a decision tree method which used high resolution satellite imagery is proposed in this study. The proposed method consists of two parts. In the first part the extraction of forest areas is accomplished by the maximum likelihood method. In the second part 10 kinds of forest species are classified in the extracted forest areas using the decision tree method and IKONOS pan-sharpen multi-spectral data. In the decision tree method the parameters to divide two branches are obtained from the spectral analysis or the texture analysis of the IKONOS data for each forest species. The study was carried out for a mountain area located in the Yamato and Minami district, Gifu Prefecture, in Japan. The results of forest species discrimination were evaluated by using independent field survey data. It is concluded that the comprehensive extraction accuracy in all forest species is about 67% and the proposed method is applicable to the forest monitoring and the planning as a useful tool.
In this study, AVHRR and MODIS data online processing and distribution system for the monitoring of environment and disaster over Asia are introduced and demonstrate the usefulness of this system. IIS, University of Tokyo, has been receiving AVHRR data at Tokyo since 1984 and MODIS since 2001. AIT at Bangkok in Thailand has been receiving AVHRR data since 1997 and MODIS since 2001. Cloud-free 10-day composite over Asian region are available via the FTP and quicklook service for all the data are available on data storage system. An easy to use interface is expected to promote the use of AVHRR and MODIS data. Finally we discuss the role of IIS as a data archiving and distribution of satellite remote sensing data in a wide range of perspective.