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RULSE Factors

Created 05/05/2025

Updated 05/05/2025

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This landing page is the collection of data packages that are derived as input to the Hillslope Erosion equation. The Universal Soil Loss Equation (USLE) and its main derivate, the Revised Universal Soil Loss Equation (RUSLE), are widely used in estimating hillslope erosion Soil Erodibility (K-factor) Soil erodibility represents the soil's response to rainfall and run-off erosivity and is related to soil properties such as organic matter content, texture, structure, permeability and aggregate stability. Slope and Steepness (LS-factor) The effects of topography on hillslope erosion are estimated through the product of slope length (L) and slope steepness (S) subfactors, or LS factor, which often contains the highest detail and plays the most influential role in RUSLE. Rainfall Erosivity (R-factor) Rainfall is a main driver of soil erosion by water. The relation between rainfall and sediment yield is given by the rainfall erosivity. The R-factor is the sum of all erosive events during a 1-year period. Cover and Management (C-factor) One of the important and dynamic elements in the RUSLE model is the cover and management factor (C-factor), which represents effects of vegetation canopy and ground cover in reducing soil loss.

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Additional Info

Field Value
Title RULSE Factors
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/1ef1b6ac-770a-46b2-b30b-9f16b093f559
Remote Last Updated 11/08/2024
Contact Point
NSW Department of Climate Change, Energy, the Environment and Water
test@email.loc
Reference Period 01/01/2001
Geospatial Coverage { "type": "Polygon", "coordinates": [ [ [ 140.5, -37.5 ], [ 140.5, -28.5 ], [ 153.5, -28.5 ], [ 153.5, -37.5 ], [ 140.5, -37.5 ] ] ]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "RULSE Factors". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/annual-hillslope-erosion-rulse-factors

Original dataset
Dataset copies

No duplicate datasets found.