SEARCH

SEARCH BY CITATION

References

  • Aspinall, R.J., Marcus, W.A. & Boardman, J.W. 2002. Considerations in collecting, processing, and analysing high spatial resolution hyperspectral data for environmental investigations. J. Geogr. Syst. 4: 1529.
  • Austin, M.P. 1985. Continuum concept, ordination methods, and niche theory. Annu. Rev. Ecol. Syst. 16: 3961.
  • Carter, G.A. 1993. Responses of leaf spectral reflectance to plant stress. Am. J. Bot. 80: 239243.
  • Clarke, K.R. 1993. Non-parametric multivariate analyses of changes in community structure. Aust. J. Ecol. 18: 117143.
  • Davies, H.C. 2001. Uncertainty testing in PLS regression. Spectroscopy Europe 13: 1619.
  • de Lange, R., van Til, M. & Dury, S. 2004. The use of hyperspectral data in coastal zone vegetation monitoring. EARSeL eProc. 3: 143153.
  • Dennison, P.E. & Roberts, D. A. 2003. The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sens. Environ. 87: 295309.
  • Dennison, P.E., Halligan, K.Q. & Roberts, D.A. 2004. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper. Remote Sens. Environ. 93: 359367.
  • Efron, B. & Tibshirani, R.J. 1993. An introduction to the bootstrap. Chapman & Hill, New York , NY, US .
  • Foody, G.M. 1996. Fuzzy modelling of vegetation from remotely sensed imagery. Ecol. Model. 85: 345.
  • Fortin, M.J., Olson, R.J., Ferson, S., Iverson, L., Hunsaker, C., Edwards, G., Levine, D., Butera, K. & Klemas, V. 2000. Issues related to the detection of boundaries. Landscape Ecol. 15: 453466.
  • Gleason, H. 1926. The individualistic concept of the plant association. Bull. Torrey Bot. Club 53: 726.
  • Green, D.R. & Hartley, S. 2000. Integrating photointerpretation and GIS for vegetation mapping: Some issues of error. In Millington, A.C. (ed.) Vegetation mapping, pp. 103134. Wiley & Sons, Chichester , UK .
  • Hill, M.O. & Gauch, H.G. 1980. Detrended correspondence analysis: an improved ordination technique. Vegetatio 42: 4758.
  • Hobbs, E.R. 1986. Characterizing the boundary between California annual grassland and coastal sage scrub with differential profiles. Plant Ecol. 65: 115126.
  • Humboldt, A.von 1807. Essai sur la géographie des plantes. Voyage de Humboldt et Bonpland, F. Schoell, Paris , FR .
  • Kaule, G. 1974. Die Übergangs- und Hochmoore Süddeutsch-lands und der Vogesen. Cramer, Lehre , DE .
  • Kenkel, N.C., Juhász-Nagy, P. & Podani, J. 1989. On sampling procedures in population and community ecology. Vegetatio, 83: 195207.
  • Kent, M., Gill, W.J., Weaver, R.E. & Armitage, R.P. 1997. Landscape and plant community boundaries in biogeog-raphy. Progr. Phys. Geogr. 21: 315353.
  • Kohavi, R. (ed.) 1995. Astudy of cross-validation and bootstrap for accuracy estimation and model selection. International Joint Conference on Arteficial Intelligence (IJCAI) 2, pp. 11371145. Morgan Kaufmann Publishers, San Francisco , CA, US .
  • Kumar, L., Schmidt, K., Dury, S. & Skidmore, A. 2001. Imaging spectrometry and vegetation science. In: van der Meer, F.D. & de Jong, S.M. (eds.), Imaging spectroscopy. Basic principles and prospective applications, pp. 111155. Kluwer Academic Publishers, Dordrecht , NL .
  • Labovitz, M.L. 1986. Issues arising from sampling designs and band selection in discriminating ground reference attributes using remotely sensed data. Photogramm. Engin. Remote Sens. 52: 201211.
  • Martens, H. & Martens, M. 2000. Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR). Food Quality and Preference 11: 516.
  • McCune, B. & Mefford, M.J. 1999. PC-ORD. Multivariate analysis of ecological data, Version 4. MjM Software Design, Gleneden Beach , OR, US .
  • Mucina, L. 1997. Classification of vegetation: Past, present and future. J. Veg. Sci. 8: 751760.
  • Mueller-Dombois, D. & Ellenberg, H. 1974. Aims and methods of Vegetation Ecology. John Wiley and Sons, New York , NY, US .
  • Oberdorfer, E. (ed.) 19931998. Süddeutsche Pflanzen-gesellschaften. 5 Vols. Fischer, Jena , DE .
  • Ohman, J.L. & Gregory, M.J. 2002. Predictive mapping of forest composition and structure with direct gradient analysis and nearest-neighbor imputation in coastal Oregon, U.S.A. Can. J. For. Res. 32: 725741.
  • Oppelt, N. & Mauser, W. 2004. Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data. Int. J. Remote Sens. 25: 145159.
  • Palmer, M.W. & White, P.S. 1994. On the existence of ecological communities. J. Veg. Sci. 5: 279282.
  • Rennwald, E. 2000. Verzeichnis und Rote Liste der Pflanzen-gesellschaften Deutschlands. Schriftenreihe für Vegeta-tionskunde, 35, Bundesamt für Naturschutz, Bonn-Bad Godesberg , DE .
  • Roberts, D.A., Gardner, M., Church, R., Ustin, S., Scheer, G. & Green, R.O. 1998. Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. Remote Sens. Environ. 65: 267279.
  • Robinson, G.D., Gross, H.N. & Schott, J.R. 2000. Evaluation of two applications of spectral mixing models to image fusion. Remote Sens. Environ. 71: 272281.
  • Schmidtlein, S. & Sassin, J. 2004. Mapping of continuous flo-ristic gradients in grasslands using hyperspectral imagery. Remote Sens. Environ. 92: 126138.
  • Shepard, R.D. 1962. The analysis of proximities: Multidimensional scaling with an unknown distance function. Psychometrika 27: 125140. 219–246.
  • Smith, A.J.E. 1980. The moss flora of Britain and Ireland. Cambridge University Press, Cambridge , UK .
  • Smith, M.-L., Ollinger, S.V., Martin, M.E., Aber, J.D., Hallett, R.A. & Goodale, C.L. 2002. Direct estimation of above-ground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecol. Appl. 12: 12861302.
  • ter Braak, C.J.F. 1986. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67: 11671179.
  • ter Braak, C.J.F. & de Jong, S.M. 1998. The objective function of partial least squares regression. J. Chemometrics 12: 4154.
  • Thessler, S., Ruokolainen, K., Tuomisto, H. & Tomppo, E. 2005. Mapping gradual landscape-scale floristic changes in Amazonian primary rain forests by combining ordination and remote sensing. Global Ecol. Biogeogr. 14: 315325.
  • Townsend, P. A. 2000. A quantitative fuzzy approach to assess mapped vegetation classifications for ecological applications. Remote Sens. Environ. 72: 253267.
  • Townsend, P. A. & Walsh, S.J. 2001. Remote sensing of forested wetlands: application of multitemporal and multispectral satellite imagery to determine plant community composition and structure in southeastern USA. Plant Ecol. 157: 129149.
  • Ustin, S., Roberts, D.A., Gamon, J.A., Asner, G.P. & Green, R.O. 2004. Using imaging spectroscopy to study ecosystem processes and properties. BioSci. 54: 523533.
  • van de Ven, C.M. & Weiss, S.B. 2001. Mapping arid vegetation species distributions in the White Mountains, eastern California, using AVIRIS, topography, and geology. In: AVIRIS Proceedings: May 20 and 21, 1991. Jet Propulsion Laboratory, Pasadena , CA, US .
  • van der Maarel, E. 1976. On the establishment of plant community boundaries. Ber. Dtsch. Bot. Ges. 89: 415443.
  • van der Meer, F.D. & de Jong, S.M. (eds.) 2001. Imaging spec-trometry. Remote sensing and digital image processing, Vol. 4. Kluwer Academic Publishers, Dordrecht , NL .
  • van Niel, K.P. & Lees, B.G. (eds.) 2003. The case for a data model to reconcile geographical and ecological paradigms. Proc. 4th International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, prospectus, and needs for research. University of Colorado, Boulder , CO, US .
  • Weaver, J.A. & Albertson, F.W. 1956. Grasslands of the Great Plains: their nature and use. Johnsen, Lincoln, NE , US .
  • Whittaker, R.H. 1972. Convergences of ordination and classification. In: van der Maarel, E. & Tüxen, R. (eds.) Grundfragen und Methoden der Pflanzensoziologie, pp. 3957. W. Junk, The Hague , NL .
  • Wisskirchen, R. & Haeupler, H. 1998. Standardliste der Farn-und Blütenpflanzen Deutschlands. Ulmer, Stuttgart , DE .
  • Wold, H. 1966. Estimation of principal components and related models by iterative least squares. In: Krishnaiah, P.R. (ed.) Multivariate analysis, pp. 391420. Academic Press, New York , NY, US .
  • Zonneveld, I.S. 1974. On abstract and concrete boundaries, arranging and classification. In: Tüxen, R. (ed.) Tatsachen und Probleme der Grenzen in der Vegetation. Bericht über das Internationale Symposion der Internationalen Vereinigung für Vegetationskunde in Rinteln 8.-11. April 1968, pp. 1743. Cramer, Lehre , DE .