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Data

Maps of Australian soil loss by water erosion derived using the RUSLE 

Ver: v1
Status of Data: Data not provided
Update Frequency: Data not provided
Security Classification: unclassified
Record Last Modified: 2016-11-17
Viewed 1749 times
Accessed 180 times
Dataset Created: 2016-11-17
Dataset Published: 2016-11-17
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTP42082?index=1
How to cite this collection:
Chappell, A., Zhou, S., Viscarra Rossel, R., Bui, E., Behrens, T. & Teng, H. (2016). Maps of Australian soil loss by water erosion derived using the RUSLE. Version v1. Commonwealth Scientific and Industrial Research Organisation. Dataset. https://dx.doi.org/10.4225/08/582cef2dd5966 
The Revised Universal Soil Loss Equation (RUSLE) estimates the annual soil loss that is due to erosion using a factor-based approach with rainfall, soil erodibility, slope length, slope steepness and cover management and conservation practices as inputs. The collection is (i) a set of maps that represent the RUSLE factors, (ii) a map of the RUSLE estimates of soil erosion in Australia and (iii) a map of the uncertainty in the estimates of erosion. 
Credit
All Rights (including copyright) CSIRO 2016. 
Purpose
Data not provided. 
Lineage
The methods for the creation of these data sets are described in the following publication: Teng H, Viscarra Rossel RA, Shi Z, Behrens T, Chappell A and Bui E 2016 Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling & Software 77: 156-167. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Temporal Coverage
From 2002-01-01 to 2012-01-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Pedology and pedometrics
Soil sciences not elsewhere classified
User Defined
Digital soil mapping
Earth observation
Modelling
RUSLE
Soil erosion
Visible-near infrared spectra
Water erosion
Author
Chappell, Adrian
Zhou, Shi
Viscarra Rossel, Raphael A.
Bui, Elisabeth
Behrens, Thorsten
Teng, Hongfen
Publisher
Commonwealth Scientific and Industrial Research Organisation
Link to journal paper: Teng H, Viscarra Rossel R, Shi Z, Behrens T, Chappell A and Bui E 2016 Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling & Software 77: 156-167.
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Data is accessible online and may be reused in accordance with licence conditionsÂ