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Multi-resolution Valley Bottom Flatness (MrVBF)

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About this Collection

Multi-resolution Valley Bottom Flatness (MrVBF)


MrVBF is a topographic index designed to identify areas of deposited material at a range of scales based on the observations that valley bottoms are low and flat relative to their surroundings and that large valley bottoms are flatter than smaller ones. Zero values indicate erosional terrain with values 1 and larger indicating progressively larger ... more


Environmental Management Land Capability and Soil Degradation Landscape Ecology Natural Resource Management Soil Sciences not elsewhere classified


https://doi.org/10.4225/08/5701C885AB4FE


11 Feb 2000


22 Feb 2000


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CSIROEnquiries@csiro.au
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MrVBF LAND Topography Models ECOLOGY Landscape TERN_Soils Land Surface Australia


Source data 1. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016). 2. The 1 arc-second MrVBF product 3. 3 arc-second resolution SRTM water body and ocean mask datasets MrVBF calculation The MrVBF method is described in Gallant and Dowling (2003). It is based on slope and position in landscape (ranking within a 3- or 6-cell circular window) calculated from the original DEM and progressively generalised DEMs. The algorithm used to create this product is version 6g-a5, which is slightly different to that in the original paper. Each value of MrVBF is associated with a particular scale and slope threshold. For each successive value the slope threshold halves and the scale triples. At each scale a location is considered erosional if it is high (ranked above the majority of the surrounding cells) or steep (slope greater than the threshold), and depositional otherwise. The largest value takes precedence at each location, so a value of zero indicates the site is considered to be erosional at all scales. Value Threshold Resolution Interpretation slope (%) (approx) 0 30 m Erosional 1 16 30 Small hillside deposit 2 8 30 Narrow valley floor 3 4 90 4 2 270 Valley floor 5 1 800 Extensive valley floor 6 0.5 2.4 km 7 0.25 7.2 km Depositional basin 8 0.125 22 km 9 0.0625 66 km Extensive depositional basin The 3 arc-second version of MrVBF was derived from the 1 arc-second MrVBF using the median value in each 3 x 3 group of 1 arc-second grid cells. MrVBF has been used with topographic wetness index (TWI) to predict soil depths; see McKenzie, Gallant and Gregory (2003) for details. Gallant, J.C. and Dowling T.I. (2003) A multiresolution index of valley bottom flatness for mapping depositional areas. Water Resources Research 39(12) 1347-1360. McKenzie, N.J., Gallant, J.C. and Gregory, L. (2003) Estimating water storage capacities in soil at catchment scales. Cooperative Research Centre for Catchment Hydrology Technical Report 03/3.


Access to this data has been made possible by the Terrestrial Ecosystem Research Network (TERN), supported by the Australian Government through the National Collaborative Research Infrastructure Strategy and the Super Science Initiative.


Creative Commons Attribution 4.0 International Licence


CSIRO (Australia)


Gallant, John; Dowling, Trevor; Austin, Jenet (2012): Multi-resolution Valley Bottom Flatness (MrVBF). v3. CSIRO. Data Collection. https://doi.org/10.4225/08/5701C885AB4FE


All Rights (including copyright) CSIRO 2012.


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Location Details

10°0′0″ S


44°0′0″ S


154°0′0″ E


113°0′0″ E


WGS84


More about this Collection

John Gallant


Terrain Analysis Research Team Leader


0 m


0 m



Raster




eng


UTF8


Elevation


About this Project

1181.2 TERN Facility No9 InfoGrid GRUNDY


The Soil and Landscape Grid of Australia is a comprehensive fine spatial resolution grid of functional soil attributes and key landscape features across Australia. The landscape attributes are derived from the data collected by the Shuttle Radar Topography Mission, whilst the soil attribute surfaces are modelled from existing soils information. The... more


John Gallant


National Elevation and Terrain Datasets


SRTM-derived elevation and terrain covariate datasets at 1 second or 3 second resolution


Measurement


John Gallant


Trevor Dowling


Jenet Austin


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