Abstract
Recently, various types of national land information have been consolidated. The image information from Landsat is said to be useful in comparing and combining with existing statistical information, minor regional information, and digital national land information concerning natural and social conditions, particularly in regional analysis.
This paper describes the two methods of regional analysis, (1) by applying trend surface analysis to land-cover classification data and land productivity data, and further (2) by combining the trend surface analysis of land productivity data and land-cover classification image, for the central part of the Kanto plain.
As a conclusion, the regional feature of the study area is identified clearly, and this work will be a step for developing more proper method concerning the use of remote sensing data for regional analysis in the future.
