Abstract
In order to obtain the more detail land use information for wide area, the author examined subpixel classification method, which would be applied to coarse spatial resolution data such as NOAA/AVHRR. This method employs the features that each land use shows specific temporal profile of NDVI. Estimation of winter wheat cropped area and other land uses for the case study site located in the suburban area of Beijing in China was generally coincident with the results obtained from LANDSAT/TM data. The author also proposed an index, which evaluated appropriateness of combination of temporal data used in this method. This index was examined and proved to improve efficiency of process of subpixel classification. Although the method has not yet been established from the practical point of view, it can be expected to contribute to compilation of dataset of land use for global and regional scales.
