**5. Conclusions**

In this study, it was demonstrated how the multiple absorption features, respectively their parameters such as wavelengths and depths, can be automatically extracted from different spectral ranges and further integrated into one raster dataset. The absorption feature information gathered from the different spectral-ranges of the two different sensors (HyMap and AHS) was integrated and led to a mineral classification that differentiated between the diverse Fe3+-bearing minerals and phyllosilicates as well as lignite and quartz contents and overall resulted in a more complex mineral/lithology classification. This is a crucial and highly relevant issue nowadays, when, in addition to optical sensors, sensors acquiring data in the LWIR range are available and more often used (e.g., TASI, AISA OWEL); and even more for the future, when a hyperspectral satellite collecting a spectral band through the VIS/NIR/SWIR and LWIR will be operating in orbit (e.g., HySPIRI).

It can be concluded that:


**Acknowledgments:** Development of the toolbox (QUANTools) was supported by a gran<sup>t</sup> from the Ministry of Education Youth and Sports (LH 13266). The study and manuscript writing were done under the support of Czech Science Foundation gran<sup>t</sup> 17-05743S. The AHS data were acquired under the EUFAR programme (DeMinTIR project). The QUANTools toolbox is available for free (February 2016); if interested, read more at http://www.cgs-rs.g6.cz/hyperalgo.html or contact quantoolscgs@gmail.com.

**Author Contributions:** Veronika Kopaˇcková designed the study, performed the analysis and wrote the paper, Lucie Koucká programmed the 'QUANTools'; both authors contributed to the interpretation of the result and further manuscript revisions.

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