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Mark Cutler

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  1. Optimal feature selection for estimating biomass using a genetic algorithm

    Vetrivel, A. & Cutler, M. 2012 p. 93-94 2 p.

    Research output: Contribution to conferencePoster

  2. A physically based method for estimating supraglacial debris thickness from thermal band remote-sensing data

    Foster, L. A., Brock, B. W., Cutler, M. E. J. & Diotri, F. Aug-2012 In : Journal of Glaciology. 58, 210, p. 677-691, 15 p.

    Research output: Contribution to journalArticle

  3. 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

  4. Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM

    Schumann, G., Matgen, P., Cutler, M. E. J., Black, A., Hoffmann, L. & Pfister, L. May-2008 In : ISPRS Journal of Photogrammetry and Remote Sensing. 63, 3, p. 283-296, 14 p.

    Research output: Contribution to journalArticle

  5. Development of a technique for Lake Habitat Survey (LHS) with applications for the European Union Water Framework Directive

    Rowan, J. S., Carwardine, J., Duck, R. W., Bragg, O. M., Black, A. R., Cutler, M. E. J., Soutar, I. & Boon, P. J. Sep-2006 In : Aquatic Conservation: Marine and Freshwater Ecosystems. 16, 6, p. 637-657, 21 p.

    Research output: Contribution to journalArticle

  6. Estimating canopy chlorophyll concentration from field and airborne spectra

    Jago, R. A., Cutler, M. E. J. & Curran, P. J. Jun-1999 In : Remote Sensing of Environment. 68, 3, p. 217-224, 8 p.

    Research output: Contribution to journalArticle

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