Dataset

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

Commonwealth Scientific and Industrial Research Organisation
Viscarra Rossel, Raphael ( Contributor ) Teng, Hongfen ( Contributor ) Zhou, Shi ( Contributor ) Behrens, Thorsten ( Contributor ) Chappell, Adrian ( Contributor ) Bui, Elisabeth ( Contributor )
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/582cef2dd5966&rft.title=Maps of Australian soil loss by water erosion derived using the RUSLE&rft.identifier=10.4225/08/582cef2dd5966&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=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.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.&rft.creator=Viscarra Rossel, Raphael &rft.creator=Teng, Hongfen &rft.creator=Zhou, Shi &rft.creator=Behrens, Thorsten &rft.creator=Chappell, Adrian &rft.creator=Bui, Elisabeth &rft.date=2016&rft.edition=v1&rft.relation=http://dx.doi.org/10.1016/j.envsoft.2015.11.024&rft.coverage=northlimit=-9.992458; southlimit=-45.002475; westlimit=109.992468; eastLimit=155.012468; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO 2016.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=Soil Erosion&rft_subject=Rusle&rft_subject=Visible-Near Infrared Spectra&rft_subject=Earth Observation&rft_subject=Digital Soil Mapping&rft_subject=Water Erosion&rft_subject=Modelling&rft_subject=Soil Sciences Not Elsewhere Classified&rft_subject=Environmental Sciences&rft_subject=Soil Sciences&rft_subject=Physical Geography and Environmental Geoscience Not Elsewhere Classified&rft_subject=Earth Sciences&rft_subject=Physical Geography and Environmental Geoscience&rft.type=dataset&rft.language=English Access the data

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CC-BY

Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/

All Rights (including copyright) CSIRO 2016.

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Data is accessible online and may be reused in accordance with licence conditions

Brief description

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.

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.

Data time period: 2002-01-01 to 2012-01-01

Click to explore relationships graph

155.012468,-9.992458 155.012468,-45.002475 109.992468,-45.002475 109.992468,-9.992458 155.012468,-9.992458

132.502468,-27.4974665

Identifiers