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Mark Cutler

  1. Artificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery

    Mills, H., Cutler, M. E. J. & Fairbairn, D. Jun 2006 In : International Journal of Remote Sensing. 27, 11, p. 2177-2195 19 p.

    Research output: Contribution to journalArticle

  2. Mapping the species richness and composition of tropical forests from remotely sensed data with neural networks

    Foody, G. M. & Cutler, M. E. J. 15 May 2006 In : Ecological Modelling. 195, 1-2, p. 37-42 6 p.

    Research output: Contribution to journalArticle

  3. Remote sensing of upland vegetation: the potential of high spatial resolution satellite sensors

    Mehner, H., Cutler, M., Fairbairn, D. & Thompson, G. Jul 2004 In : Global Ecology and Biogeography. 13, 4, p. 359-369 11 p.

    Research output: Contribution to journalArticle

  4. Hyperspectral indices for characterizing upland peat composition

    Mcmorrow, J. M., Cutler, M. E. J., Evans, M. G. & Al-Roichdi, A. 2004 In : International Journal of Remote Sensing. 25, 2, p. 313-325 13 p.

    Research output: Contribution to journalArticle

  5. Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing

    Foody, G. M. & Cutler, M. E. J. Jun 2003 In : Journal of Biogeography. 30, 7, p. 1053-1066 14 p.

    Research output: Contribution to journalArticle

  6. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions

    Foody, G. M., Boyd, D. S. & Cutler, M. E. J. 2003 In : Remote Sensing of Environment. 85, 4, p. 463-474 12 p.

    Research output: Contribution to journalArticle

  7. Remote sensing peat erosion in the southern Pennines

    Cutler, M. E. J., McMorrow, J. & Evans, M. 2002 In : North West Geography. 2, 1, p. 21-30

    Research output: Contribution to journalArticle

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