Mapping sub-pixel fluvial grain sizes with hyperspatial imagery

Author:

Black Martin12,Carbonneau Patrice1,Church Michael3,Warburton Jeff1

Affiliation:

1. Department of Geography; Durham University; Lower Mountjoy South Road Durham DH1 3LE UK

2. British Antarctic Survey; High Cross Madingley Road Cambridge Cambridgeshire CB3 0ET UK

3. Faculty of Arts; Department of Geography; The University of British Columbia; 1984 West Mall Vancouver BC V6T 1Z2 Canada

Publisher

Wiley

Subject

Stratigraphy,Geology

Reference34 articles.

1. Estimation of grain-size distributions and associated parameters from digital images of sediment;Buscombe;Sed. Geol.,2008

2. Advances in the simulation and automated measurement of well-sorted granular material. Part 1: simulation;Buscombe;J. Geophys. Res.,2012a

3. Advances in the simulation and automated measurement of well-sorted granular material. Part 2: direct measures of particle properties;Buscombe;J. Geophys. Res.,2012b

4. A universal approximation of grain size from images of noncohesive sediment;Buscombe;J. Geophys. Res.,2010

5. Automated extraction of grain-size data from gravel surfaces using digital image processing;Butler;J. Hydraul. Res.,2001

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