International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
the Pozalagua Quarry, and for a travel grant allowing 
presentation of this paper. Norsk Elektro Optikk AS and 
Riegl GmbH are acknowledged for continued hardware and 
software support. John Howell is thanked for assistance with 
fieldwork in Spain. 
REFERENCES 
Axelsson, P., 1999. Processing of laser scanner data — 
algorithms and applications. ISPRS Journal of 
Photogrammetry and Remote Sensing, 54(2-3), pp. 138-147. 
Bellian, J.A., Kerans, C. and Jennette, D.C., 2005. Digital 
outcrop models: applications of terrestrial scanning lidar 
technology in stratigraphic modeling. Journal of Sedimentary 
Research, 75(2), pp. 166-176. 
Boardman, J.W., 1998. Leveraging the high dimensionality 
of AVIRIS data for improved sub-pixel target unmixing and 
rejection of false positives: mixture tuned matched filtering. 
Summaries of the Seventh Annual JPL Airborne Earth 
Science Workshop, Pasadena, California. Vol. 1, pp. 55. 
Buckley, S.J., Howell, J.A., Enge, H.D. and Kurz, T.H., 
2008. Terrestrial laser scanning in geology: data acquisition, 
processing and accuracy considerations. Journal of the 
Geological Society, London, 165(3), pp. 625-638. 
Buckley, S.J., Enge, H.D., Carlsson, C. and Howell, J.A., 
2010. Terrestrial laser scanning for use in virtual outcrop 
geology. Photogrammetric Record, 25(131), pp. 225-239. 
El-Hakim, S.F., Brenner, C. and Roth, G., 1998. A multi- 
sensor approach to creating virtual environments. /SPRS 
Journal of Photogrammetry and Remote Sensing, 53(6), pp. 
379-391. 
Fassi, F., Achille, C. and Fregonese, L., 2011. Surveying and 
modelling the main spire of Milan Cathedral using multiple 
data sources. Photogrammetric Record, 26(136), pp. 462- 
487. 
Franceschi, M., Teza, G., Preto, N., Pesci, A., Galgaro, A. 
and Girardi, S., 2009. Discrimination between marls and 
limestones using intensity data from terrestrial laser scanner. 
ISPRS Journal of Photogrammetry and Remote Sensing, 
64(6), pp. 522-528. 
Frueh, C., Jain, S. and Zakhor, A., 2005. Data processing 
algorithms for generating textured 3D building facade meshes 
from laser scans and camera images. International Journal of 
Computer Vision, 61(2), pp. 159-184. 
Green, A.A., Berman, M., Switzer, P. and Craig, M.D., 1988. 
A transformation for ordering multispectral data in terms of 
image quality with implications for noise removal. IEEE 
Transactions on Geoscience and Remote Sensing, 26(1), pp. 
65—74. 
Guo, L., Chehata, N., Mallet, C. and Boukir, S., 2011. 
Relevance of airborne lidar and multispectral image data for 
urban scene classification using Random Forests. ISPRS 
Journal of Photogrammetry and Remote Sensing, 66(1), pp. 
56-66. 
Hemmleb, M., Weritz, F., Schiemenz, A., Grote, A. and 
Maierhofer, C., 2006. Multi-spectral data acquisition and 
546 
processing techniques for damage detection on building 
surfaces. /nternational Archives of the Photogrammetry, 
Remote Sensing and Spatial Information Sciences, Vol. 
XXXVI, Part B5, 6 pages (on CD-ROM). 
Hófle, B. and Pfeifer, N., 2007. Correction of laser scanning 
intensity data: data and model-driven approaches. ISPRS 
Journal of Photogrammetry and Remote Sensing, 62(6), pp. 
415-433. 
Keshava, N. and Mustard, J.F., 2002. Spectral unmixing. 
IEEE Signal Processing Magazine, 19(1), pp. 44-57. 
Koch, B., 2010. Status and future of laser scanning, synthetic 
aperture radar and hyperspectral remote sensing data for 
forest biomass assessment. ISPRS Journal of 
Photogrammetry and Remote Sensing, 65(6), pp. 581-590. 
Kurz, T.H., Buckley, S.J., Howell, J.A. and Schneider, D., 
2008. Geological outcrop modelling and interpretation using 
ground based hyperspectral and laser scanning data fusion. 
International Archives of the Photogrammetry, Remote 
Sensing and Spatial Information Sciences, 37(B8), pp. 1229- 
1234. 
Kurz, T.H., Buckley, S.J., Howell, J.A. and Schneider, D., 
2011. Integration of panoramic hyperspectral imaging with 
terrestrial lidar data. Photogrammetric Record, 26(134), pp. 
212-228. 
Kurz, T.H., Dewit, J., Buckley, S.J., Thurmond, J.B., Hunt, 
D.W. and Swennen, R., 2012. Hyperspectral image analysis 
of different carbonate lithologies (limestone, karst and 
hydrothermal dolomites): the Pozalagua Quarry case study 
(Cantabria, North-west Spain). Sedimentology, 59(2), pp. 
623-645. 
Lichti, D.D., 2005. Spectral filtering and classification of 
terrestrial laser scanner point clouds. Photogrammetric 
Record, 20(111), pp. 218—240. 
Luhmann, T., Robson, S., Kyle, S. and Harley, L, 2006. 
Close Range Photogrammetry: Principles, Methods and 
Applications. Whittles, Dunbeath, Caithness, Scotland. 
510pp. 
Nield, J.M., Wiggs, G.F. and Squirrell, R.S., 2011. Aeolian 
sand strip mobility and protodune development on a drying 
beach: examining surface moisture and surface roughness 
patterns measured by terrestrial laser scanning. Earth Surface 
Processes and Landforms, 36(2), pp. 273-278. 
Norsk Elektro Optikk, 2012. HySpex hyperspectral imaging. 
http://www hyspex.no/ (13 April, 2012). 
Schneider, D. and Maas, H.-G., 2006. A geometric model for 
linear-array-based terrestrial panoramic cameras. 
Photogrammetric Record, 21(115), pp. 198-210. 
van der Meer, F.D. de Jong, S.M. 2001. Imaging 
Spectrometry: Basic ^ Principles and . Prospective 
Applications, Kluwer Academic, Dordrecht, 403pp.