Forest chemistry mapping with hyperspectral data

2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Volumn , Issue , 2004, Pages 395-398

  Goodenough, D G ^a,b   Han, Tian ^b   Pearlman, J S ^c   Dyk, A ^a   McDonald, S ^b  

^a PACIFIC FORESTRY CENTRE   (Canada)

^b UNIVERSITY OF VICTORIA   (Canada)

^c BOEING COMPANY   (United States)

Author keywords

AVIRIS; canopy endmember fraction; chemical mapping; forestry; hyperspectral; spectral unmixing

Indexed keywords

FORESTRY; LINEAR REGRESSION; NITROGEN; PHOTOMAPPING; PIXELS; REMOTE SENSING; SPECTROSCOPY;

AVIRIS; CHEMICAL MAPPING; ENDMEMBERS; HYPERSPECTRAL; SPECTRAL UNMIXING;

MAPPING;

EID: 84945284612     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WARSD.2003.1295220     Document Type: Conference Paper

References (7)

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3. Goodenough, G. D, A. Dyk, K. O. Niemann, J. S. Pearlman, H. Chen, T. Han, M. Murdoch, C. West, "Processing hyperion and ALI for forest classification," IEEE Trans. Geosci. Remote Sensing, vol. 41, pp.1321-1331, June 2003.
4. Goodenough, G. D., H. Chen, A. Dyk, T. Han, S. McDonald, M. Murdoch, K. O. Niemann, J. Pearlman, and C. West, "EVEOSD Forest Information Products from AVIRIS and Hyperion," Proceedings of IGARSS 2003.
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6. McDonald, S., K. Olaf Niemann, David G. Goodenough, Andrew Dyk, Chris West, Tian Han, and Matthew Murdoch, "Hyperspectral Remote Sensing of Conifer Chemistry and Moisture", Proceedings of IGARSS 2003.
7. Rencher, A. C., and F. C. Pun, "Inflation of R in best subset regression," Technometrics 22:49-53.