NED365187NED

59 6. Fung T., Ma F.Y., Siu W.L. 1998. Hyperspectral data analysis for subtropical tree species rec- ognition // Geoscience and Remote Sensing Symposium Proceedings, IGARSS '98. IEEE Inter- national.Vol.3. P. 1298–1300. 7. Hestir E. L., Khanna S., Andrew M. E., Santos M. J., Viers J. H., Greenberg J. A., Rajapakse S. S., Ustin, S. L. 2008. Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem // Remote Sensing of Environment. Vol. 112. P. 4034–4047. 8. Torbick N., Becker B. 2009. Evaluating Principal Components Analysis for identifying optimal bands using wetland hyperspectral measurements from the Great Lakes, USA // Remote Sens- ing. Vol.1. No.3. P. 208–417. 9. Zomer R. J., Trabucc, A., Ustin S. L. 2009. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing // Journal of Environmental Management. Vol. 90. P. 2170–2177. 10. De Souza E., Vicens R., Rosa A., Cruz C. 2012. Spectral analysis of different vegetation cover using the Hyperion sensor – a case study in the state of Rio de Janeiro – Brasil // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. V.XXXIX-B7. P.109–111. 11. Bannehr L., Luhmann Th., Piechel J., Roelfs T., Schmidt A. 2011. Extracting roof parameters and head bridges over the city of Oldenburg from hyperspectral, thermal, and airborne laser scanning data // International Archives of the Photogrammetry, Remote Sensing and Spatial In- formation Sciences. V.XXXVIII-4/W19. P. 17–22. 12. Chisense C. Classification of Roofs using Hyperspectral Data // Master thesis. 2011. University of Applied Sciences Stuttgart, Germany; Chisense C. Classification of roof materials using hy- perspectral data // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2012. Vol. XXXIX-B7. P. 103–107. 13. Mohammadi M. 2011. Road Classification and Condition Determination using Hyperspectral Imagery // Master thesis. University of Applied Sciences Stuttgart, Germany. 14. Lee J.-D., Dewitt B., Lee S.-S., Bhang K.-J., Sim J.-B. 2012. Analysis of concrete reflectance characteristics using spectrometer and VNIR hyperspectral camera // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXIX-B7. P. 127–130. 15. Phil P. R. P., Crisp P. T. 1982. Surface geochemical prospecting methods used for oi1 and gas prospecting // Journal of Geochemical Exploration. Vol.17. No.1. P. l–34. 16. Kurz T., Buckley S., Howell J. 2012. Close range hyperspectral imaging integrated with terres- trial lidar scanning applied to rock characterization at centimeter scale // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. V.XXXIX-B5. P. 417–422. 17. Almond, Samuel 2000. The Remote Sensing Of Oil Slicks From Satellite Platforms. http://www.geog.ucl.ac.uk/~salmond/essay.html. 18. Ellis J.M., Davis H.H., Zamudio J.A. 2001. Exploring for onshore oil seeps with hyperspectral imaging // Oil and Gas Journal. No.10. P. 49–56. 19. Horig B., Kuhn F., Oschutz F., Lehmann F. 2001. HyMap hyperspectral remote sensing to de- tect hydrocarbons // Int. J. Remote Sensing. Vol. 22. No.8. P. 1213–1422. 20. Williams A., Lawrence G. 2002. The role of satellite seep detection in exploring the South At- lantic's ultra-deep water // Surface Exploration case Histories, etc, AAPG Studies in Geology. Vol. 48. 21. Foudan M.F. Salem. 2003. Hyperspectral remote sensing: A new approach for oil spill detection and analysis // Doctor Dissertation. George Mason University (USA). 22. Heather Freeman. 2003. Evaluation of the use of hyperspectral imagery for identification of mi- croseeps near Santa Barbara, California. California. Sep.26, 2003. 23. EO-1 User Guide. v. 2.3. University of Cicinatty. 2003. 24. http://hico.coas.oregonstate.edu 25. http://planet.iitp.ru/spacecraft/resurs_p.htm