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Mark Cutler

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  1. 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

  2. A physically-based method for mapping glacial debris-cover thickness from ASTER satellite imagery: development and testing at Miage Glacier, Italian Alps

    Foster, L., Brock, B. & Cutler, M. 2009 Sustaining the Millennium Development Goals: Proceedings: 33 International Symposium on Remote Sensing of Environment . Tucson: International Center for Remote Sensing of Environment, p. 918-921 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation.: GOFC-GOLD Report version COP18-1

    Cutler, M. & 49 others Achard, F. (ed.), Brown, S. (ed.), Brady, M. (ed.), DeFries, R. (ed.), Grassi, G. (ed.), Herold, M. (ed.), Mollicone, D. (ed.), Mora, B. (ed.), Pandey, D. (ed.), Souza, C. (ed.), Arino, O., Asner, G. P., Boschetti, L., Braatz, B., Chiuvieco, E., Csiszar, I., Englhart, S., de Jong, B., Falkowski, M., Federici, S., Franke, J., Goetz, S., Harris, N., Hirata, Y., Hoffman, A., Joosten, H., Justice, C., Kellndorfer, J., Kull, S., Kurz, W., Lambin, E., McCall, M., McRoberts, R., Monni, S., Moore, R., Naesset, E., Nelson, R., Shimabukuro, Y., Paganini, M., Pearson, T., Richards, G., Roy, D., Russell-Smith, J., Siegert, F., Shoch, D., Skutsch, M., Spessa, A., Van Laake, P. & Wulder, M. 2012 Wageningen, Netherlands: Wageningen University. 225 p.

    Research output: Book/ReportOther report

  4. An estimation of tropical forest biomass with a combination of JERS-1 and Landsat TM data

    Cutler, M. E. J., Foody, G. M. & Boyd, D. S. 2009 Sustaining the Millennium Development Goals: 33rd International symposium on remote sensing of environment. Tucson: International Center for Remote Sensing of Environment, p. 262-265 4 p. ( Proceedings of the International Symposium on Remote Sensing of Environment).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. 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

  6. 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

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