Articles | Volume 9, issue 5
Research article
04 Sep 2015
Research article |  | 04 Sep 2015

Improving semi-automated glacier mapping with a multi-method approach: applications in central Asia

T. Smith, B. Bookhagen, and F. Cannon

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Cited articles

Armstrong, R., Raup, B., Khalsa, S., Barry, R., Kargel, J., Helm, C., and Kieffer, H.: GLIMS glacier database, National Snow and Ice Data Center, Boulder, Colorado, USA, 2005.
Bhambri, R., Bolch, T., and Chaujar, R.: Mapping of debris-covered glaciers in the Garhwal Himalayas using ASTER DEMs and thermal data, Int. J. Remote Sens., 32, 8095–8119, 2011.
Bolch, T., Buchroithner, M. F., Kunert, A., and Kamp, U.: Automated delineation of debris-covered glaciers based on ASTER data, in: Geoinformation in Europe, Proc. of 27th EARSel Symposium, 4–7 June 2007, Bozen, Italy, 403–410, 2007.
Bolch, T., Peters, J., Yegorov, A., Pradhan, B., Buchroithner, M., and Blagoveshchensky, V.: Identification of potentially dangerous glacial lakes in the northern Tien Shan, Nat. Hazards, 59, 1691–1714, 2011.
Short summary
We describe and apply a newly developed glacial mapping algorithm which uses spectral, topographic, velocity, and spatial data to quickly and accurately map glacial extents over a wide area. This method maps both clean glacier ice and debris-covered glacier tongues across diverse topographic, land cover, and spectral settings using primarily open-source tools.