Applicability of the thermal infrared spectral region for the prediction of soil properties across semi-arid agricultural landscapes

Eisele, A, Lau, I, Hewson, R, Carter, D, Wheaton, B, Ong, C, Cudahy, T, Chabrillat, S and Kaufmann, H 2012, 'Applicability of the thermal infrared spectral region for the prediction of soil properties across semi-arid agricultural landscapes', Remote Sensing, vol. 4, no. 11, pp. 3265-3286.


Document type: Journal Article
Collection: Journal Articles

Title Applicability of the thermal infrared spectral region for the prediction of soil properties across semi-arid agricultural landscapes
Author(s) Eisele, A
Lau, I
Hewson, R
Carter, D
Wheaton, B
Ong, C
Cudahy, T
Chabrillat, S
Kaufmann, H
Year 2012
Journal name Remote Sensing
Volume number 4
Issue number 11
Start page 3265
End page 3286
Total pages 22
Publisher M D P I AG
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.
Subject Classical Physics not elsewhere classified
Keyword(s) Emission IR spectroscopy
Organic carbon
Soils
Texture
Thermal infrared
TIR
DOI - identifier 10.3390/rs4113265
Copyright notice © 2012 by the authors
ISSN 2072-4292
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