**Applications (Post-fire severity)**

10-00389

#### **Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy**

*Zachary Tane, Dar Roberts, Sander Veraverbeke, Ángeles Casas, Carlos Ramirez and Susan Ustin*

This paper uses imaging spectroscopy data combined with Multiple Endmember Spectral Mixture Analysis (MESMA), a form of spectral mixture analysis that accounts for endmember variability, to map fire severity of the 2013 Rim Fire. To reduce the dimensionality of the imaging spectroscopy data we used uncorrelated Stable Zone Unmixing (uSZU) for band selection.
