Fluvial Remote Sensing for Science and Management 2012
DOI: 10.1002/9781119940791.ch13
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The Use of Imagery in Laboratory Experiments

Abstract: International audienceno abstrac

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Cited by 11 publications
(7 citation statements)
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References 69 publications
(89 reference statements)
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“…We quantify this by tracking the fraction of the delta top covered by active flow ( f w ) and the roughness of the shoreline ( R SL ) each hour (Figures b and c). f w is computed from wet/dry maps of experimental surfaces generated from overhead photos captured every 0.25 h [ Tal et al ., ]. We quantify R SL with the coefficient of variation for distances measured from points defining the shoreline to the basin entrance RnormalSnormalL=1Ni=1Nritruer¯rtrue¯2 where N is the total number of points defining the shoreline, r i are the individual distance measurements, and truer¯ is the mean distance from basin entrance to shoreline for that run hour.…”
Section: Resultsmentioning
confidence: 99%
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“…We quantify this by tracking the fraction of the delta top covered by active flow ( f w ) and the roughness of the shoreline ( R SL ) each hour (Figures b and c). f w is computed from wet/dry maps of experimental surfaces generated from overhead photos captured every 0.25 h [ Tal et al ., ]. We quantify R SL with the coefficient of variation for distances measured from points defining the shoreline to the basin entrance RnormalSnormalL=1Ni=1Nritruer¯rtrue¯2 where N is the total number of points defining the shoreline, r i are the individual distance measurements, and truer¯ is the mean distance from basin entrance to shoreline for that run hour.…”
Section: Resultsmentioning
confidence: 99%
“…We quantify this by tracking the fraction of the delta top covered by active flow (f w ) and the roughness of the shoreline (R SL ) each hour (Figures 1b and 1c). f w is computed from wet/dry maps of experimental surfaces generated from overhead photos captured every 0.25 h [Tal et al, 2012]. We quantify R SL with the coefficient of variation for distances measured from points defining the shoreline to the basin entrance…”
Section: Resultsmentioning
confidence: 99%
“…Measuring T ch is accomplished using wet/dry maps of experimental surfaces generated from overhead photos. Using a threshold blue luminosity value, we separate dry regions from wet regions on each delta‐top image [ Tal et al ., ]. The threshold value used for this operation was picked by identifying a value that on visual inspection appeared to correctly separate the two regions.…”
Section: Resultsmentioning
confidence: 99%
“…Grains were colored based on five size classes, which had median grain diameters of 2.4, 4.5, 8.0, 15.4, and 27.2 mm ( D 16 = 2.0, 3.4, 6.7, 12.4, and 24.0 mm and D 84 = 2.8, 5.7, 10.3, 19.7, and 31.3 mm, respectively). Surface GSDs were measured through image analysis at the same time intervals as cumulative sediment output (with discharge briefly suspended to make measurements), by identifying the proportions of different grain colors from distortion‐corrected photographs of the bed surface and using the median diameters of each size class to calculate a grain size distribution [ Tal et al , ].…”
Section: Experimental Designmentioning
confidence: 99%