High spectral resolution reflectance of Douglas fir grown under different fertilization treatments: Experiment design and treatment effects

Remote Sensing of Environment

Volumn 55, Issue 3, 1996, Pages 217-228

  Dungan, J ^a   Johnson, L ^a   Billow, C ^b   Matson, P ^b   Mazzurco, J ^a   Moen, J ^b   Vanderbilt, V ^a  

^a NASA AMES RESEARCH CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANOPY REFLECTANCE; DOUGLAS FIR; FERTILIZATION TREATMENT; FOLIAR BIOCHEMISTRY;

EID: 0029731544     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(95)00222-7     Document Type: Article

References (34)

1. Agricultural Research Service (1989), Near infrared reflectance spectroscopy (NIRS): analysis of forage quality, in Agriculture Handbook No. 643. G. C. Marten, J. S. Shenk, and F. Barton II, Eds.), U.S. Department of Agriculture, Washington, DC.
2. Baret, F., Champion, I., Guyot, G., and Podaire, A. (1987), Monitoring wheat canopies with a high spectral resolution radiometer, Remote Sens. Environ. 22:367-378.
3. Curran, P., and Dungan, J. (1990), Exploring the relationship between reflectance red edge and chlorophyll content in slash pine, Tree Physiol. 7:33-48.
4. Daughtry, C., Vanderbilt, V., and Pollara, V. (1982), Variability of reflectance measurements with sensor altitude and canopy type, Agron. J. 74:744-751.
5. Daughtry, C., Ranson, K., and Biehl, L. (1989), A new technique to measure the spectral properties of conifer needles, Remote Sens. Environ. 27:81-91.
6. Dixit, L., and Ram, S. (1985), Quantitative analysis by derivative electronic spectroscopy, Appl. Spectrosc. Rev.: 311-418.
7. Gastelluetchegorry, J., Zagolski, F., Mougin, E., and Marty, G. (1995), An assessment of canopy chemistry with AVIRIS - a case study in the Landes Forest, south-west France, Int. J. Remote Sens. 16:487-501.
8. Guyot, G., Guyon, D., and Riom, J. (1989), Factors affecting the spectral response of forest canopies: a review, Geocarto Int. 3:3-18.
9. Hildebrand, F. (1956), Introduction to Numerical Analysis, McGraw-Hill, New York.
10. Himmelsbach, D., Boer, H., Akin, D., and Akin, F. B. (1988), Solid-state carbon-13 NMR, FTIR, and NIR spectroscopic studies of ruminant silage digestion, in Analytical Applications of Spectroscopy, Royal Society of Chemistry, London.
11. Infrasoft International (1992), NIRS 2: Routine operation and calibration software for near infrared instruments.
12. Jackson, R., Clarke, T., and Moran, M. (1992), Bidirectional calibration results for 11 Spectralon and 16 BaSO4 reference reflectance panels, Remote Sens. Environ. 40:231-239.
13. Johnson, L., and Billow, C. (1996), Spectroscopic estimation of total nitrogen concentration in Douglas-fir foliage, Int. J. Remote Sens., 17:489-500.
14. Johnson, L., Hlavka, C., and Peterson, D. (1994), Multivariate analysis of AVIRIS data for canopy biochemical estimation along the Oregon Transect, Remote Sens. Environ. 47:216-230.
15. Kleman, J. (1985), The spectral signatures of coniferous tree stands measured from a helicopter, in Proceedings of the 3rd International Colloquium on Spectral Signatures of Objects in Remote Sensing, Les Arcs, France, pp. 463-466.
16. Kupiec, J., and Curran, P. (1995), Decoupling effects of the canopy and foliar biochemicals in AVIRIS spectra, Int. J. Remote Sens. 16:1731-1739.
17. Lawrence, W., Williams, D., Ranson, K., Irons, J., and Walthall, C. (1994), Comparative analysis of data acquired by three narrow band airborne spectroradiometers over subboreal vegetation, Remote Sens. Environ. 47:204-215.
18. Martin, K. (1992), Recent advances in near-infrared reflectance spectroscopy, Appl. Spectrosc. Rev. 27:325-383.
19. Matson, P., Johnson, L., Miller, J., Billow, C., and Pu, R. (1994), Seasonal changes in canopy chemistry across the Oregon Transect: patterns and spectral measurements with remote sensing, Ecol. Appl. 4:280-298.
20. Miller, J., Jiyou, W., Boyer, M., Belanger, M., and Hare, E. (1991), Seasonal patterns in leaf reflectance red edge characteristics, Int. J. Remote Sens. 12:1509-1523.
21. Perstorp Analytical (1990), Total kjeldahl nitrogen, Technical Report Method No. A303-S071-00, revision B, Clackamas, OR.
22. Peterson, D., and Hubbard, G. (1992), Scientific issues and potential remote sensing requirements for plant biochemical content, J. Imaging Sci. Technol. 36:446-456.
23. Peterson, D., Aber, J., Matson, P., et al. (1988), Remote sensing of forest canopy and leaf biochemical contents, Remote Sens. Environ. 24:85-108.
24. Ranson, K., Daughtry, C., and Biehl, L. (1986), Sun angle, view angle and background effects on the spectral response of simulated balsam fir canopies, Photogramm. Eng. Remote Sens. 52:649-658.
25. Rock, B., Vogelmann, J., Williams, D., Vogelmann, A., and Hoshizaki, T. (1986), Remote detection of forest damage, BioScience 36:439-445.
26. Rock, B., Williams, D., Moss, D., Lauten, G., and Kim, M. (1994), High spectral resolution field and laboratory optical reflectance measurements of red spruce and eastern hemlock needles and branches, Remote Sens. Environ. 47:176-189.
27. Schmuck, G., Lichtenhaler, H., Kritikos, G., Amann, V., and Rock, B. (1987), Comparison of terrestrial and airborne reflection measurements of forest trees, in Proceedings of IGARSS '87, Ann Arbor, MI, 18-21 May, pp. 1207-1212.
28. Schutt, J., Rowland, R., and Heartly, W. (1984), A laboratory investigation of a physical mechanism for the extended infrared absorption ("red shift") in wheat, Int. J. Remote Sens. 5:95-102.
29. Ustin, S., Wessman, C., Curtiss, B., Kasischke, E., Way, J., and Vanderbilt, V. (1991), Opportunities for using the EOS imaging spectrometers and Synthetic Aperture Radar in ecological models, Ecology 72:1934-1945.
30. Wessman, C., Aber, J., and Peterson, D. (1989), An evaluation of imaging spectrometry for estimating forest canopy chemistry, Int. J. Remote Sens. 10:1293-1316.
31. Wessman, C., Aber, J., Peterson, D., and Melillo, J. (1988), Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems, Nature 335:154-156.
32. Williams, D. (1991), A comparison of spectral reflectance properties at the needle, branch and canopy level for selected conifer species, Remote Sens. Environ. 35:79-93.
33. Williams, D., Walthall, C., and Goward, S. (1984), Collection of in situ forest canopy spectra using a helicopter: a discussion of methodology and preliminary results, in Proceedings of the 1984 Machine Processing of Remotely Sensed Data Symposium, Purdue University, West Lafayette, IN, pp. 94-106.
34. Zhumar, A. (1993), Effects of vegetation-cover parameters on the location of the maximum slope of the red edge. Sov. J. Remote Sens. 10:594-603.