The Estimation of Foliar Biochemical Content of a Slash Pine Canopy from AVIRIS Imagery

References

• Aber, J. (ed.). 1994. Accelerated Canopy Chemistry Program Final Report to NASA-EOS-IWG. Washington, DC: National Aeronautics and Space Administration.
   Google Scholar
• Albert, A. and E.K. Harris. 1987. Multivariate Interpretation of Clinical Laboratory Data. New York, NY: Marcel Dekker, Inc.
   Google Scholar
• Barton, F.E., D.S. Himmelsbach, J.H. Duckworth, and M.J. Smith. 1992, “Two-Dimensional Vibration Spectroscopy: Correlation of Mid- and Near-Infrared Regions,” Applied Spectroscopy, 46, pp. 420–429.
   Web of Science ®Google Scholar
• Card, D.H., D.L. Peterson, P.A. Matson, and J.D. Aber. 1988, “Prediction of Leaf Chemistry by the Use of Visible and Near Infrared Reflectance Spectroscopy,” Remote Sensing of Environment, 26, pp. 123–147.
   Web of Science ®Google Scholar
• Curran, P.J. 1989, “The Remote Sensing of Foliar Chemistry,” Remote Sensing of Environment, 29, pp. 271–278.
   Google Scholar
• Curran, P.J. 1992. “Estimating Foliar Chemical Concentrations with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS),” International Archives of Photogrammetry and Remote Sensing. Washington, DC: Commission VII, ISPRS, pp. 705–708.
   Google Scholar
• Curran, P.J. 1994a. “Attempts to Drive Ecosystem Simulation Models at Local to Regional Scales,” Environmental Remote Sensing from Regional to Global Scales, Foody, G.M. and P.J. Curran (eds.). Chichester: John Wiley and Sons, pp. 146–166.
   Google Scholar
• Curran, P.J. 1994b, “Imaging Spectrometry,” Progress in Physical Geography, 18, pp. 247–266.
   Web of Science ®Google Scholar
• Curran, P.J., J.L. Dungan, B.A. Macler, S.E. Plummer, and D.L. Peterson. 1992a, “Reflectance Spectroscopy of Fresh Leaves,” Remote Sensing of Environment, 39, pp. 153–166.
   Web of Science ®Google Scholar
• Curran, P.J., J.L. Dungan, and H.L. Gholz. 1992b, “Seasonal LAI in Slash Pine Estimated with Landsat TM,” Remote Sensing of Environment, 39, pp. 3–13.
   Web of Science ®Google Scholar
• Curran, P.J. and J. Kupiec. 1995. “Imaging Spectroscopy: A New Tool for Ecology,” Advances in Environmental Remote Sensing, Danson, F.M. and S.E. Plummer (eds.). Chichester: John Wiley and Sons, pp. 71–88.
   Google Scholar
• Elvidge, C.D. 1990, “Visible and Near Infrared Reflectance Characteristics of Dry Plant Materials,” International Journal of Remote Sensing, 11, pp. 1775–1795.
   Web of Science ®Google Scholar
• Gao, B-C., K.B. Heidebrecht, and A.F.H. Goetz. 1992. Atmospheric Removal Program (ATREM): User's Guide, Version 1.1. Boulder, CO: Center for the Study of the Earth from Space, University of Colorado.
   Google Scholar
• Gholz, H.L. and R.F. Fisher. 1982, “Organic Matter Production and Distribution in Slash Pine Plantations,” Ecology, 63, pp. 1812–1839.
   Google Scholar
• Gholz, H.L., P.J. Curran, G.M. Smith, and J.A. Kupiec. 1995. “LAI and Canopy Chemistry in Slash Pine,” Remote Sensing of Forest Structure, Productivity and Chemistry: A First Generation State-of-the-Science Assessment, Gholz, H.L., K. Nakane, and H. Shimoda (eds.). Dordrecht: Kluwer Academic (in press).
   Google Scholar
• Gholz, H.L., S.A. Vogel, W.P. Cropper, K. McKelvey, K.C. Ewel, R.O. Teskey, and P.J. Curran. 1991, “Dynamics of Canopy Structure and Light Interception in Pinus elliottii Stands in North Florida,” Ecological Monographs, 61, pp. 33–51.
   Web of Science ®Google Scholar
• Hildebrand, F.B. 1974. Introduction to Numerical Analysis, 2nd Edition. New York, NY: McGraw-Hill.
   Google Scholar
• Jacquemoud, S. 1993, “Inversion of the PROSPECT and SAIL Canopy Reflectance Models from AVIRIS Equivalent Spectra: Theoretical Study,” Remote Sensing of Environment, 44, pp. 281–292.
   Web of Science ®Google Scholar
• Johnson, L.F., C.A. Hlavka, and D.L. Peterson. 1994, “Multivariate Analysis of AVIRIS Data for Canopy Biochemical Determination Along the Oregon Transect,” Remote Sensing of Environment, 47, pp. 216–230.
   Web of Science ®Google Scholar
• Kupiec, J.A. 1994. The Remote Sensing of Foliar Chemistry. PhD thesis, Department of Geography, University College of Swansea, Swansea, Wales, UK.
   Google Scholar
• Martin, M.E. 1994. Measurements of Foliar Chemistry Using Laboratory and Airborne High Spectral Resolution Visible and Infrared Data. PhD thesis, University of New Hampshire, Durham, NH.
   Google Scholar
• Martin, M.E. and J.D. Aber. 1990. “Effects of Moisture Content and Chemical Composition on the Near Infrared Spectra of Forest Foliage,” SPIE 1298, Imaging Spectroscopy of the Terrestrial Environment, Bellingham, WA, pp. 171–177.
   Google Scholar
• Martin, M.E. and J.D. Aber. 1993. “Measurements of Canopy Chemistry with 1992 AVIRIS Data at Blackhawk Island and Harvard Forest,” Summaries of the Fourth Annual JPL Airborne Geoscience Workshop, JPL Publication 93–26. Pasadena, CA: Jet Propulsion Laboratory, pp. 113–116.
   Google Scholar
• Matson, P., L. Johnson, C. Billow, J. Miller, and R. Pu. 1994, “Seasonal Patterns and Remote Spectral Estimation of Canopy Chemistry Across the Oregon Transect,” Ecological Applications, 4, pp. 280–298.
   Web of Science ®Google Scholar
• McLellan, T.M., J.D. Aber, M.E. Martin, J.M. Mellilo, and K.J. Nadelhoffer. 1991a, “Determination of Nitrogen, Lignin and Cellulose Content of Decomposing Leaf Material by Near Infrared Reflectance Spectroscopy,” Canadian Journal of Forest Research, 21, pp. 1684–1688.
   Web of Science ®Google Scholar
• McLellan, T.M., M.E. Martin, J.D. Aber, J.M. Melillo, K.J. Nadelhoffer, and B. Dewey. 1991b, “Comparison of Wet Chemical and Near Infrared Reflectance Measurements of Carbon Fraction Chemistry and Nitrogen Concentration of Forest Foliage,” Canadian Journal of Forest Research, 21, pp. 1689–1693.
   Web of Science ®Google Scholar
• Norris, K.H., R.F. Barnes, J.E. Moore, and J.S. Shenk. 1976, “Predicting Forage Quality by Infrared Reflectance Spectroscopy,” Journal of Animal Science, 43, pp. 889–897.
   Web of Science ®Google Scholar
• Novak, K. 1992, “Rectification of Digital Imagery,” Photogrammetric Engineering and Remote Sensing, 58, pp. 339–344.
   Web of Science ®Google Scholar
• Osborne, B.G. and T. Fearn. 1986. Near Infrared Spectroscopy in Food Analysis. Harlow: Longman Scientific and Technical.
   Google Scholar
• Peterson, D.L. 1991. Report on the Workshop Remote Sensing of Plant Biochemical Content: Theoretical and Empirical Studies. Moffett Field, CA: NASA Ames Research Center.
   Google Scholar
• Peterson, D.L., J.D. Aber, P.A. Matson, D.H. Card, N. Swanberg, C. Wessman, and M. Spanner. 1988, “Remote Sensing of Forest Canopy and Leaf Biochemical Contents,” Remote Sensing of Environment, 24, pp. 85–108.
   Web of Science ®Google Scholar
• Peterson, D.L. and G.S. Hubbard. 1992, “Scientific Issues and Potential Remote-Sensing Requirements for Plant Biochemical Constituents,” Journal of Imaging Science and Technology, 36, pp. 446–456.
   Web of Science ®Google Scholar
• Porter, W.M. and H.T. Enmark. 1987. “A System Overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS),” SPIE 834, Imaging Spectroscopy II, Bellingham, WA, pp. 22–31.
   Google Scholar
• Rees, W.G. 1990. Physical Principles of Remote Sensing. Cambridge: Cambridge University Press.
   Google Scholar
• Reimer, J.H., J.R. Heyada, S.C. Carpenter, W.T.S. Deich, and M. Lee. 1987. “AVIRIS Ground Data Processing System,” Airborne Visible/Infrared Imaging Spectrometer (AVIRIS): A Description of the Sensor, Ground Data Processing Facility, Laboratory Calibration and First Results, JPL Publication 87–38. Pasadena, CA: Jet Propulsion Laboratory, pp. 61–72.
   Google Scholar
• Shenk, J.S., W.N. Mason, M.L. Risius, K.H. Norris, and R.F. Barnes. 1976. “Application of Infrared Reflectance Analysis to Feedstuff Evaluation,” Proceedings, 1st International Symposium on Feed Composition, Animal Nutrient Requirements and Computerisation of Diets. Logan, Utah: Utah State University, pp. 242–248.
   Google Scholar
• Smith, G.M. 1994. Toward the Remote Sensing of Foliar Biochemical Content. PhD thesis, Department of Geography, University College of Swansea, Swansea, Wales, UK.
   Google Scholar
• Smith, G.M. and P.J. Curran. 1992. “Exploring the Remote Sensing of Foliar Biochemical Concentrations with AVIRIS Data,” Summaries of the Third Annual JPL Airborne Geoscience Workshop, JPL Publication 92–14. Pasadena, CA: Jet Propulsion Laboratory, pp. 50–52.
   Google Scholar
• Smith, G.M. and P.J. Curran. 1995. “The Signal-to-Noise Ratio (SNR) Required for the Estimation of Foliar Biochemical Concentrations,” International Journal of Remote Sensing (in press).
   Google Scholar
• Vane, G. and A.F.H. Goetz. 1993, “Terrestrial Imaging Spectroscopy: Current Status and Future Trends,” Remote Sensing of Environment, 44, pp. 117–126.
   Web of Science ®Google Scholar
• Wessman, C.A. 1994a. “Remote Sensing and the Estimation of Ecosystem Parameters and Functions,” Imaging Spectrometry—A Tool for Environmental Observations, Hill, J. and J. Megier (eds.). Dordrecht: Kluwer Academic, pp. 39–56.
   Google Scholar
• Wessman, C.A. 1994b. “Estimating Canopy Biochemistry Through Imaging Spectrometry,” Imaging Spectrometry —A Tool for Environmental Observations, Hill, J. and J. Megier (eds.). Dordrecht: Kluwer Academic, pp. 57–70.
   Google Scholar
• Wessman, C.A., J.D. Aber, D.L. Peterson, and J.M. Melillo. 1988a, “Remote Sensing of Canopy Chemistry and Nitrogen Cycling in Temperate Forest Ecosystems,” Nature, 335, pp. 154–156.
   Web of Science ®Google Scholar
• Wessman, C.A., J.D. Aber, D.L. Peterson, and J.M. Melillo. 1988b, “Foliar Analysis Using Near Infrared Reflectance Spectroscopy,” Canadian Journal of Forest Research, 18, pp. 6–11.
   Web of Science ®Google Scholar
• Williams, P.C. and K.H. Norris. 1987. Near-Infrared Technology in the Agricultural and Food Industries. St. Paul, MN: American Association of Cereal Chemists Inc.
   Google Scholar