Data

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

Commonwealth Scientific and Industrial Research Organisation
Viscarra Rossel, Raphael ; Teng, Hongfen ; Zhou, Shi ; Behrens, Thorsten ; Chappell, Adrian ; Bui, Elisabeth
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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=https://doi.org/10.4225/08/582cef2dd5966&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&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.\nLineage: The methods for the creation of these data sets are described in the following publication: \nTeng 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.\nEnvironmental 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=westlimit=109.992467957; southlimit=-45.0024751294; eastlimit=155.012467957; northlimit=-9.992457512944; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2016.&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=Physical geography and environmental geoscience not elsewhere classified&rft_subject=Physical geography and environmental geoscience&rft_subject=EARTH SCIENCES&rft_subject=Soil sciences not elsewhere classified&rft_subject=Soil sciences&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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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 conditions

All Rights (including copyright) CSIRO 2016.

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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.

Available: 2016-11-17

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

This dataset is part of a larger collection

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155.01247,-9.99246 155.01247,-45.00248 109.99247,-45.00248 109.99247,-9.99246 155.01247,-9.99246

132.502467957,-27.497466321172

Subjects
Digital soil mapping | Earth Sciences | Environmental Sciences | Earth observation | Modelling | Physical Geography and Environmental Geoscience | Physical Geography and Environmental Geoscience Not Elsewhere Classified | RUSLE | Soil erosion | Soil Sciences | Soil Sciences Not Elsewhere Classified | Visible-near infrared spectra | Water erosion |

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