Relative Radiometric Normalization of Landsat Multispectral Scanner (MSS) Data Using an Automatic Scattergram—Controlled Regression

Abstract

The scientific requirement for increased understanding of human impacts on terrestrial carbon stocks and biodiversity has created renewed interest in the use of Landsat Multispectral Scanner (MSS) data for the analysis of land-cover change. A series of five Landsat MSS sensors were used to acquire earth observations over a 21 year period (1972–1992), forming the longest available set of repetitive satellite observations of the earth’s surface.