Estimation of Earth Resistivity Based on Multispectral Image Classification

This paper presents a method to estimate earth resistivity using satellite image techniques. Since some useful satellite image resources can be accessible with reasonable expense, their applications of various engineering fields have been released. To demonstrate the application of estimating earth resistivity, high-resolution multi-spectral images of band 7, 5 and 3 acquired from LANDSAT ETM were used. The test area of 50 km² was selected. Maximum likelihood, one of multispectral supervised classification techniques, was employed to classify multispectral data over the entire test area. With earth resistivity measurement of some selected locations, an earth resistivity map can be generated.