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RULSE Factors

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.

Data and Resources

Metadata Summary What is metadata?

Field Value
Language English
Edition 1.0
Purpose Data for land management and environment monitoring
Frequency of change As needed
Keywords SOIL-Erosion
Metadata Date 2024-07-20
Date of Asset Creation 2024-07-20
Date of Asset Publication 2024-07-20
License Creative Commons Attribution 4.0
Geospatial Topic Environment
NSW Place Name New South Wales
Extent

Dataset extent

Temporal Coverage From 2001-01-01
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2024"
Groups Modelled Hillslope Erosion over New South Wales