In the last section of this series, we took a look at both the ASTER sensor and the vast library of spectral profiles built as a standard reference for multi-spectral analysis and material classification. In this article, we will take a look at land cover investigations through spectral unmixing, which is a primary method for classifying materials in remotely sensed data. But to begin with, what exactly is spectral unmixing?

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