Atmospheric Correction of Landsat Image

Purpose: The satellite imagery such as Landsat contains water vapour and gases that do interfere with analytical process to lower the result. The research focused on atmospheric corrected and un-corrected image on Normalized Difference Vegetation Index determination. The aim of the paper was atmospheric correction on satellite imagery and the objectives considered were to: (1) discuss the types of atmospheric correction (2) determine the Normalized Difference Vegetation Index using atmospheric corrected image (3) highlight the Normalized Difference Vegetation Index without atmospheric corrected image. Methodology: The following materials were used for the study, they are Landsat imagery, ArcGIS 10.7 and Idrisi 32 software. Remote sensing and Geographical Information Systems (GIS), were factored in the process of Normalize Difference Vegetation Index (NDVI) determination using bands 4 and 3. Additive rescaling formular was used to extract the temperature values. Analysis of variance was also conducted on the two NDVIs and presented in regression table. Findings: The study found that atmospheric corrected NDVI started from 0.02 to 1.0 on the scale of measurement while uncorrected NDVI ranges from <61.00 to 201. Conclusion: The study conclude that corrected satellite imagery gave a good reflectance of the earth features than uncorrected image. Recommendation: The study recommend that for image studies to be carried out, there should be an atmospheric correction to have a precise result.