Multivariate Differencing Techniques for Land Cover Change Detection: the Normalized Difference Reflectance Approach

Abstract

The importance of the dynamic side of natural and man-made phenomena has become an urgent need when trying to mitigate the human impact on environment. Remote Sensing is one of the most effective way to quantify and map the changes of environmental conditions on our planet: the tools used for this purpose are called Change Detection Techniques. Techniques among which an important role is played by those methodologies based on multi-spectral remote sensing data and exploiting multivariate analysis derived methodologies, also demonstrating their capabilities through some test cases, covering flood events and urban growth studies.