**5. Conclusions**

We demonstrated the utility of imaging spectroscopy combined with MESMA for fire severity mapping over a large fire in California's Sierra Nevada. While currently limited to airborne acquisitions, future spaceborne missions will allow large-scale application of these techniques. One aspect that will be important for processing imaging spectroscopy and MESMA globally are techniques that maximize accuracy while minimizing calculation time. In this study, we performed MESMA using a spectral library that included several different collection methods and multiple different spatial scales. We demonstrated that band reduction can significantly reduce computational time with only small differences in performance. We also evaluated the performance of several endmember selection techniques and found that these can also be optimized between performance and calculation time. Further research is needed that evaluates cover fractions relation to fire severity comparing multiple fires across regions. However, the identification cover fractions represents a potentially objective and physically meaningful evaluation of fire severity using remote sensing.

**Acknowledgments:** We would like to acknowledge the US Forest Service, Region-5 Remote Sensing Lab staff, in particular Nathan Amboy for their assistance in the WorldView-2 image acquisition and pre-processing. We also would like to acknowledge Simon Hook and Linley Kroll for supporting the field data collection. We would like to acknowledge everyone at JPL that contributed with the collection and pre-processing of the AVIRIS imagery.

**Author Contributions:** Sander Veraverbeke, Susan Ustin, Zachary Tane conceived and designed the experiments; Ángeles Casas, Sander Veraverbeke, and Zachary Tane performed the experiments; Dar Roberts and Zachary Tane analyzed the data; Carlos Ramirez, Dar Roberts, Sander Veraverbeke, and Zachary Tane wrote the paper.

**Conflicts of Interest:** The authors declare no conflict of interest.
