Nitrogen concentration in New Zealand vegetation foliage derived from laboratory and field spectrometry

International Journal of Remote Sensing

Volumn 21, Issue 12, 2000, Pages 2525-2531

  White, J D ^a,b   Trotter, C M ^a   Brown, L J ^a   Scott, N ^a  

^a LANDCARE RESEARCH   (New Zealand)

^b BAYLOR UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FOLIAGE; NITROGEN; SPECTROMETRY;

NEW ZEALAND;

EID: 0033869135     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160050030628     Document Type: Article

References (17)

1. ACCP, Accelerated Canopy Chemistry Program, 1994, Final Report to NASA-EOS-IWG, 19 October 1994, National Aeronautical Administration, Washington DC.
2. Curran, P. J., 1989, Remote sensing of foliar chemistry. Remote Sensing of Environment, 30, 271-278.
3. Curran, P. J., Dungan, J. L., Macler, B. A., Plummer, S. E., and Peterson, D. L., 1992, Reflectance of fresh whole leaves for the estimation of chemical concentration. Remote Sensing of Environment, 39, 153-166.
4. Dungan, J., Johnson, L., Billow, C., Matson, P., Mazzurco, J., Moen, J., and Vanderbilt, V., 1996, High spectral resolution reflectance of Douglas fir grown under different fertilization treatments: experiment design and treatment effects. Remote Sensing of Environment, 55, 217-228.
5. Fourty, T., Baret, F., Jacquemond, S., SCHMUCK, G., and Verdebout, J., 1996, Leaf optical properties with explicit description of its biochemical composition: direct and inverse problems. Remote Sensing of Environment, 56, 104-117.
6. Gastellu-Etchegorry, J. P., Kagolso, F., Mougin, E., Marty, G., and Giodano, G., 1995, An assessment of canopy chemistry with AVIRIS—a case study in the Landes Forest, south-west France. International Journal of Remote Sensing, 16, 487-501.
7. Grossman, Y. L., Ustin, S. L., Jacquemond, S., Sanderson, E. W., Schmück, G., and Verdebout, J., 1996, Critique of stepwise linear regression for the extraction of leaf biochemistry information form leaf reflectance data. Remote Sensing of Environment, 56, 182-193.
8. Hruschka, W. R., 1987, Data analysis: wavelength selection methods. In Near Infrared Technology in the Agricultural and Food Industries, edited by C. P. Williams and K. Norris (St. Paul, MN: American Association of Cereal Chemists), pp. 35-55.
9. Jacquemond, S., Verdebout, J., Schmuch, G., Andreoli, G., and Hosgood, B., 1995, Investigation of leaf biochemistry by statistics. Remote Sensing of Environment, 54, 180-188.
10. Johnson, L. F., and Billow, C. R., 1996, Spectrometric estimation of total nitrogen concentration in Douglas-fir foliage. International Journal of Remote Sensing, 17, 489-500.
11. LaCapra, V. C., Melack, J. M., Gastil, M., and Valeriano, D., 1996, Remote sensing of foliar chemistry of inundated rice with imaging spectrometry. Remote Sensing of Environment, 55, 50-58.
12. Martin, M. E., and Aber, J. D., 1994, Analyses of forest foliage III: determining nitrogen, lignin, and cellulose in fresh leaves using near infrared reflectance data. Journal of Near Infrared Spectroscopy, 2, 25-32.
13. Martin, M. E., and Aber, J. D., 1997, High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes. Ecological Applications, 7, 431-443.
14. Peterson, D. J., Aber, J. D., Matson, P. A., Card, D. H., Swanberg, N., Wessman, C., and Spanner, M., 1988, Remote sensing of forest canopy and leaf biochemical contents. Remote Sensing of Environment, 24, 85-108.
15. Price, J. C., 1995, Examples of high resolution visible to near-infrared reflectance spectra and a standardized collection for remote sensing studies. International Journal of Remote Sensing, 16, 993-1000.
16. Wessman, C. A., Aber, J. D., Peterson, D. L., and Mellilo, J. M., 1988, Foliar analysis using near infrared reflectance spectroscopy. Canadian Journal of Forest Research, 18, 6-11.
17. Zagolski, F., Pinel, V., Romier, J., Alcayde, D., Gastellu-Etchegorry, J. P., Giordano, G., Marty, G., Mougin, E., and Joffre, R., 1996, Forest canopy chemistry with high spectral resolution remote sensing. International Journal of Remote Sensing, 17, 1107-1128.