Land Cover Analysis Using Fine Resolution Satellite Data and GIS Data

Abstract

abstractNormalized vegetation index (NVI) and albedo are computed using the fine resolution satellite remote sensing data. The characteristics on their frequency distributions for corresponding land uses are analyzed by superimposing the Detailed Digital Information on them. The frequency distributions generated by raw data in 10m meshes under consideration are compared to these made by the averaged data in each 10m meshes which seems to represent the popular course resolution satellite remote sensing data. By using these fine resolution data together with the GIS, albedo of the building roofs and roads seem to be distinguished. The characteristics on the frequency distributions of NVI and albedo for individual land uses are examined, and these for the raw value of 4m mesh are shown to be almost similar to those for the averaged value in 10m mesh. However in some land use categories, the specific materials of land cover contained in the categories are found to enlarge the standard deviation.