High-resolution grain-size characterisation of gravel bars using imagery analysis and geo-statistics

[1]  Robert G. Bryant,et al.  Analysis of Aerial Photography and Other Remotely Sensed Data , 2005 .

[2]  S. Lane,et al.  Catchment‐scale mapping of surface grain size in gravel bed rivers using airborne digital imagery , 2004 .

[3]  H. Piégay,et al.  PRATIQUE DE L'ANALYSE DE L'AUTOCORRÉLATION SPATIALE EN GÉOMORPHOLOGIE : DÉFINITIONS OPÉRATOIRES ET TESTS , 2004 .

[4]  M. Doyle.  Gravel-bed Rivers V: Edited by M. Paul Mosley, 2001, New Zealand Hydrological Society, Wellington, New Zealand. Hardcover, 642 pp., ISBN Number 0-473-07486-9. Price: US $95.00 , 2004 .

[5]  Stuart N. Lane,et al.  Automated extraction of grain-size data from gravel surfaces using digital image processing , 2001 .

[6]  A. R. Allen,et al.  Estimating the size composition of sediment surfaces through image analysis , 2000 .

[7]  Mario Chica-Olmo,et al.  Computing geostatistical image texture for remotely sensed data classification , 2000 .

[8]  C. Brunsdon,et al.  Influence of particle shape and sorting upon sample size estimates for a coarse-grained upland stream , 1999 .

[9]  D. Montgomery,et al.  A Procedure for classifying textural facies in gravel‐bed rivers , 1999 .

[10]  James R. Carr,et al.  Spectral and textural classification of single and multiple band digital images , 1996 .

[11]  R. Lark.  Geostatistical description of texture on an aerial photograph for discriminating classes of land cover , 1996 .

[12]  Stephen P. Rice,et al.  Sampling surficial fluvial gravels; the precision of size distribution percentile sediments , 1996 .

[13]  Richard C. Dubes,et al.  Performance evaluation for four classes of textural features , 1992, Pattern Recognit..

[14]  Dan R. Sheen,et al.  Statistical and spatial properties of forest clutter measured with polarimetric synthetic aperture radar (SAR) , 1992, IEEE Trans. Geosci. Remote. Sens..

[15]  F. Ulaby,et al.  Textural Infornation in SAR Images , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[16]  M. P. Mosley,et al.  Sediment variability and bed material sampling in gravel-bed rivers , 1985 .

[17]  Richard D. Hey,et al.  Accuracy of Surface Samples from Gravel Bed Material , 1983 .

[18]  John R. Adams,et al.  Gravel Size Analysis from Photographs , 1979 .

[19]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[20]  Dale I. Bray,et al.  Sampling Procedures for Coarse Fluvial Sediments , 1971 .

[21]  L. B. Leopold.  An Improved Method for Size Distribution of Stream Bed Gravel , 1970 .

[22]  R. Folk,et al.  Brazos River bar [Texas]; a study in the significance of grain size parameters , 1957 .

[23]  M. Wolman.  A method of sampling coarse river‐bed material , 1954 .

[24]  D. R. Nielsen,et al.  Spatial and Temporal Statistics , 2003 .

[25]  S. Abt,et al.  Sampling surface and subsurface particle-size distributions in wadable gravel- and cobble-bed streams for analyses in sediment transport, hydraulics, and streambed monitoring , 2001 .

[26]  Mario Chica-Olmo,et al.  Evaluation of Geostatistical Measures of Radiometric Spatial Variability for Lithologic Discrimination in Landsat TM Images , 1999 .

[27]  C. Jong.  Temporal and spatial interactions between river bed roughness, geometry, bedload transport and flow hydraulics in mountain streams , 1995 .

[28]  D. H. Hoekman,et al.  Radar remote sensing data for applications in forestry. , 1990 .

[29]  H. Ibbeken,et al.  Photo‐sieving: A method for grain‐size analysis of coarse‐grained, unconsolidated bedding surfaces , 1986 .

[30]  P R Wolf,et al.  Elements of Photogrammetry , 1983 .