Data

Maps of Australian soil composition measured with visible-near infrared spectra

Terrestrial Ecosystem Research Network
Viscarra Rossel, Raphael A. ; Chen, Charlie
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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=10.4225/08/55DFFCA48F284&rft.title=Maps of Australian soil composition measured with visible-near infrared spectra&rft.identifier=10.4225/08/55DFFCA48F284&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=We measured the spectra of 4606 surface soil samples from across Australia using a vis-NIR spectrometer. These spectra provide an integrative measure that provides information on the fundamental characteristics and composition of the soil, including colour, iron oxide, clay and carbonate mineralogy, organic matter content and composition, the amount of water present and particle size. This soil information content of the spectra was summarised using a principal component analysis (PCA). We used model trees to derive statistical relationships between the scores of the PCA and 31 predictors that were readily available and we thought might best represent the factors of soil formation (climate, organisms, relief, parent material, time and the soil itself). The models were validated and subsequently used to produce digital maps of the information content of the spectra, as summarised by the PCA, with estimates of prediction error at 3-arc seconds (around 90 m) pixel resolution. The maps might be useful in situations requiring high-resolution, quantitative soil information e.g. in agricultural, environmental and ecologic modelling and for soil mapping and classification. Attributes: Units of measurement: 1. Principal component 1; 2. Principal component 3; 3. Principal component 3. For interpretations please see Viscarra Rossel & Chen (2011). Data Type: Float Grid. Map Projection: Geographic. Datum: GDA94. Map units: Decimal degrees. Resolution: 0.00083333333 degrees. File Header Information: ncols 48874; nrows 40373; xllcorner 112.91246795654; yllcorner -43.642475129116; cellsize 0.00083333333333333; NODATA_value -9999; byteorder LSBFIRST.&rft.creator=Viscarra Rossel, Raphael A. &rft.creator=Chen, Charlie &rft.date=2015&rft.edition=v1&rft.relation=http://hdl.handle.net/102.100.100/23001&rft.relation=http://dx.doi.org/10.1016/j.rse.2011.02.004&rft.relation=https://data.csiro.au/dap/search?kw=TERN_Soils&rft.relation=https://data.csiro.au/dap/search?kw=TERN_Soils_DSM&rft.coverage=northlimit=-9.98125; southlimit=-44.00125; westlimit=112.99875; eastLimit=154.01625; projection=EPSG:4326&rft_rights=Creative Commons Attribution 3.0 International Licence http://creativecommons.org/licenses/by/3.0&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_subject=TERN_Soils&rft_subject=TERN_Soils_DSM&rft_subject=Soil visible-near infrared spectra&rft_subject=Digital soil mapping&rft_subject=Soil mapping&rft_subject=Principal components analysis&rft_subject=Predictive modelling&rft_subject=Soil-landscape modelling&rft_subject=Pedology and pedometrics&rft_subject=Soil Sciences not elsewhere classified&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=SOIL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Data is accessible online and may be reused in accordance with licence conditions

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Contact Information

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Brief description

We measured the spectra of 4606 surface soil samples from across Australia using a vis-NIR spectrometer. These spectra provide an integrative measure that provides information on the fundamental characteristics and composition of the soil, including colour, iron oxide, clay and carbonate mineralogy, organic matter content and composition, the amount of water present and particle size. This soil information content of the spectra was summarised using a principal component analysis (PCA). We used model trees to derive statistical relationships between the scores of the PCA and 31 predictors that were readily available and we thought might best represent the factors of soil formation (climate, organisms, relief, parent material, time and the soil itself). The models were validated and subsequently used to produce digital maps of the information content of the spectra, as summarised by the PCA, with estimates of prediction error at 3-arc seconds (around 90 m) pixel resolution. The maps might be useful in situations requiring high-resolution, quantitative soil information e.g. in agricultural, environmental and ecologic modelling and for soil mapping and classification. Attributes: Units of measurement: 1. Principal component 1; 2. Principal component 3; 3. Principal component 3. For interpretations please see Viscarra Rossel & Chen (2011). Data Type: Float Grid. Map Projection: Geographic. Datum: GDA94. Map units: Decimal degrees. Resolution: 0.00083333333 degrees. File Header Information: ncols 48874; nrows 40373; xllcorner 112.91246795654; yllcorner -43.642475129116; cellsize 0.00083333333333333; NODATA_value -9999; byteorder LSBFIRST.

Notes

Credit
All Rights (including copyright) CSIRO Australia 2014.

Created: 2015-08-28

Issued: 2015-08-28

Modified: 2015-08-28

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154.01625,-9.98125 154.01625,-44.00125 112.99875,-44.00125 112.99875,-9.98125 154.01625,-9.98125

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Subjects
Digital soil mapping | Environmental Sciences | Pedology and pedometrics | Predictive modelling | Principal components analysis | Soil Sciences | Soil Sciences Not Elsewhere Classified | Soil mapping | Soil visible-near infrared spectra | Soil-landscape modelling | TERN_Soils | TERN_Soils_DSM |

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Identifiers
  • global : b9c38f90-fea2-5895-aa58-989286a92d9a