Application of Remote Sensing in Radiometric Correction for Empirical Line Calibration and Spectral Analysis

Abstract

A radiometric correction has being used to improve the quality of atmospheric scattering often called haze. The atmosphere maintains balance through solar radiation of Albido, reflection, absorption and scattering. The technology to correct anomalies to have a clean-up viewing of the atmosphere is defined in remote sensing where the GIS data can be modeled. The data can be classified in the cluster classification of Landsat TM image from non-radiometric image correction such as digital elevation model DEM, or digital terrain model DTM. The idea is that using both GIS and remote sensing technology will enhance the illumination on the earth terrain as well as the earth-atmosphere. Urban areas classified with vegetation, or without vegetation, savanna, shrublands, grassland and arid region. Radiometric correction helps in estimating surfaces and spectral analysis of optical depth, sensor calibration. The results obtained depict   vegetation dynamics.

Keys words:  radiometric correction; remote sensing; GIS; DET; DTM