Remote Sens. 2012, 4(11), 3265-3286; doi:10.3390/rs4113265
Article

Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes

1 Helmholtz Centre Potsdam, GFZ German Research Centre For Geosciences, Telegrafenberg, D-14473 Potsdam, Germany 2 Exploration & Mining, ARRC, CSIRO, 26 Dick Perry Avenue, Kensington, WA 6151, Australia 3 School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia 4 Department of Agriculture and Food of Western Australia (DAFWA), 3 Baron-Hay Court, South Perth, WA 6151, Australia
* Author to whom correspondence should be addressed.
Received: 14 August 2012; in revised form: 29 September 2012 / Accepted: 16 October 2012 / Published: 24 October 2012
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Abstract: In this study we tested the feasibility of the thermal infrared (TIR) wavelength region (within the atmospheric window between 8 and 11.5 μm) together with the traditional solar reflective wavelengths for quantifying soil properties for coarse-textured soils from the Australian wheat belt region. These soils have very narrow ranges of texture and organic carbon contents. Soil surface spectral signatures were acquired in the laboratory, using a directional emissivity spectrometer (μFTIR) in the TIR, as well as a bidirectional reflectance spectrometer (ASD FieldSpec) for the solar reflective wavelengths (0.4–2.5 μm). Soil properties were predicted using multivariate analysis techniques (partial least square regression). The spectra were resampled to operational imaging spectroscopy sensor characteristics (HyMAP and TASI-600). To assess the relevance of specific wavelength regions in the prediction, the drivers of the PLS models were interpreted with respect to the spectral characteristics of the soils’ chemical and physical composition. The study revealed the potential of the TIR (for clay: R2 = 0.93, RMSEP = 0.66% and for sand: R2 = 0.93, RMSEP = 0.82%) and its combination with the solar reflective region (for organic carbon: R2 = 0.95, RMSEP = 0.04%) for retrieving soil properties in typical soils of semi-arid regions. The models’ drivers confirmed the opto-physical base of most of the soils’ constituents (clay minerals, silicates, iron oxides), and emphasizes the TIR’s advantage for soils with compositions dominated by quartz and kaolinite.
Keywords: thermal infrared; TIR; emission IR spectroscopy; soils; texture; organic carbon

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MDPI and ACS Style

Eisele, A.; Lau, I.; Hewson, R.; Carter, D.; Wheaton, B.; Ong, C.; Cudahy, T.J.; Chabrillat, S.; Kaufmann, H. Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes. Remote Sens. 2012, 4, 3265-3286.

AMA Style

Eisele A, Lau I, Hewson R, Carter D, Wheaton B, Ong C, Cudahy TJ, Chabrillat S, Kaufmann H. Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes. Remote Sensing. 2012; 4(11):3265-3286.

Chicago/Turabian Style

Eisele, Andreas; Lau, Ian; Hewson, Robert; Carter, Dan; Wheaton, Buddy; Ong, Cindy; Cudahy, Thomas John; Chabrillat, Sabine; Kaufmann, Hermann. 2012. "Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes." Remote Sens. 4, no. 11: 3265-3286.

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