Assessment of biophysical soil properties through spectral decomposition techniques

A mixture model was utilized to extract soil biophysical properties from fine resolution soil spectra (400–900 nm) measured outdoors with a portable spectroradiometer. The objective of this study was to fully characterize soil spectral signatures in the visible and near-infrared in terms of underlyi...

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Bibliographic Details
Published in:Remote sensing of environment 1991-02, Vol.35 (2), p.149-159
Main Authors: Huete, A.R., Escadafal, R.
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Biological and medical sciences
DEGRADACION
DEGRADATION
ESPECTROMETRIA
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
MODELE
MODELOS
OPTICAL PROPERTIES
PROPIEDADES FISICO-QUIMICAS SUELO
PROPIEDADES OPTICAS
PROPRIETE OPTIQUE
PROPRIETE PHYSICOCHIMIQUE DU SOL
REFLECTANCE
REMOTE SENSING
SOIL
SOIL CHEMICOPHYSICAL PROPERTIES
SOL
SPECTRAL DATA
SPECTROMETRIE
SPECTROMETRY
SUELO
SURFACES
TELEDETECCION
TELEDETECTION
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Summary:A mixture model was utilized to extract soil biophysical properties from fine resolution soil spectra (400–900 nm) measured outdoors with a portable spectroradiometer. The objective of this study was to fully characterize soil spectral signatures in the visible and near-infrared in terms of underlying “basis” curves, key wavelengths, and dimensionality. Through spectral decomposition and mixture modeling, the reflectance response of a wide, genetic range of soil materials were separated into four independent sources of spectral variability (basis curves), which in linear combination were able to reconstitute the experimental data set. Stepwise spectral reconstruction was then utilized to isolate organic carbon and free iron oxide “basis” curves. This enabled a good “global” measure of soil properties irrespective of soil type or brightness. We anticipate the EOS-MODIS and HIRIS sensors to provide the spectral data needed for inversion of satellite data into soil surface properties and processes.
ISSN:0034-4257
1879-0704
DOI:10.1016/0034-4257(91)90008-T