Rugosity

Rugosity, f_r, is a measure of small-scale variations of amplitude in the height of a surface,

$f_{\text{r}} = A_{\text{r}}/A_{\text{g}}$

where A_r is the real (true, actual) surface area and A_g is the geometric surface area.^[1]

Rugosity calculations are commonly used in materials science to characterize surfaces, amongst others, in marine science to characterize seafloor habitats. A common technique to measure seafloor rugosity is Risk's chain-and-tape method^[2] but with the advent of underwater photography less invasive quantitative methods have been developed. Some examples include measuring small-scale seafloor bottom roughness from microtopographic laser scanning (Du Preez and Tunnicliffe 2012),^[3] and deriving multi-scale measures of rugosity, slope and aspect from benthic stereo image reconstructions (Friedman et al. 2012).^[4]

Despite the popularity of using rugosity for two- and three-dimensional surface analyses, methodological inconsistency has been problematic. Building off recent advances, the new arc-chord ratio (ACR) rugosity index is capable of measuring the rugosity of two-dimensional profiles and three-dimensional surfaces using a single method (Du Preez 2015).^[5] The ACR rugosity index is defined as the contoured (real) surface area divided by the area of the surface orthogonally projected onto a plane of best fit (POBF), where the POBF is a function (linear interpolation) of the boundary data only. Using a POBF, instead of an arbitrary horizontal geometric plane, results in an important advantage of the ACR rugosity index: unlike most rugosity indices ACR rugosity is not confounded by slope.

Ecology: As a measure of complexity, rugosity is presumed to be an indicator of the amount of available habitat available for colonization by benthic organisms (those attached to the seafloor), and shelter and foraging area for mobile organisms.

Geology: For marine geologists and geomorphologists, rugosity is a useful characteristic in distinguishing different types of seafloors in remote sensing applications (e.g., sonar and laser altimetry, based from ships, planes or satellites).

Oceanography: Among oceanographers, rugosity is recognized to influence small-scale hydrodynamics by converting organized laminar or oscillatory flow into energy-dissipating turbulence.

Coral biology: High rugosity is often an indication of the presence of coral, which creates a complex surface as it grows. A rugose seafloor's tendency to generate turbulence is understood to promote the growth of coral and coralline algae by delivering nutrient-rich water after the organisms have depleted the nutrients from the envelope of water immediately surrounding their tissues.

See also

• Roughness
• Glossary of climbing terms: Rugosity

Other resources

Matlab code for calculating multi-scale rugosity, slope and aspect

References

1. IUPAC, Compendium of Chemical Terminology, 2nd ed. (the "Gold Book") (1997). Online corrected version:  (2006–) "Roughness factor (rugosity) of a surface".
2. Risk, M. J. 1972. "Fish diversity on a coral reef in the Virgin Islands." Atoll Res. Bull. 193:1-6 [doi:10.5479/si.00775630. 153.1]
3. Du Preez, C. and V. Tunnicliffe. (2012). "A new video survey method of microtopographic laser scanning (MiLS) to measure small-scale seafloor bottom roughness." Limnology and Oceanography: Methods. 10:899-909. [DOI 10.4319/lom.2012.10.899].
4. Friedman A, Pizarro O, Williams SB, Johnson-Roberson M (2012) "Multi-Scale Measures of Rugosity, Slope and Aspect from Benthic Stereo Image Reconstructions". PLoS ONE 7(12): e50440. doi:10.1371/journal.pone.0050440
5. Du Preez, C. 2015. "A new arc-chord ratio (ACR) rugosity index for quantifying three-dimensional landscape structural complexity". Landscape Ecology. 30: 181-192. doi: 10.1007/s10980-014-0118-8.