Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method - Advances in Remote Sensing

ARS > Vol.8 No.4, December 2019

Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method ()

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DOI: 10.4236/ars.2019.84007 466 Downloads 1,207 Views Citations

Author(s)

Zouhaier Ben Rabah¹, Hedi Garbia², Emna Karray¹, Kais Tounsi¹, Abdelaziz Kallel³, Basel Solaiman⁴

Affiliation(s)

¹3E Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia.
²National Center of Mapping and Remote Sensing, Tunis, Tunisia.
³Digital Research Centre of Sfax, Sfax, Tunisia.
⁴IMT Atlantique, Bretagn-Pays de la Loire, France.

ABSTRACT

Near-InfraRed and Visible (Vis-NIR) spectroscopy is a promising tool allowing to quantify soil properties. It shows that information encoded in hyperspectral data can be useful after signal processing and model calibration steps, in order to estimate various soil properties throughout appropriate statistical models. However, one of the problems encountered in the case of hyperspectral data is related to information redundancy between different spectral bands. This redundancy is at the origin of multi-collinearity in the explanatory variables leading to unstable regression coefficients (and, difficult to interpret). Moreover, in hyperspectral spectrum, the information concerning the chemical specificity is spread over several wavelengths. Therefore, it is not wise to remove this redundancy because this removal affects both relevant and irrelevant hyperspectral information. In this study, the faced challenge is to optimize the estimation of some soil properties by exploiting all the spectral richness of the hyperspectral data by providing complementary rather than redundant information. To this end, a new reliable approach based on hyperspectral data analysis and partial least squares regression is proposed.

KEYWORDS

Spectroscopy, Hyperspectral Data, Soil Properties, Partial Least Squares Regression Model

Share and Cite:

Rabah, Z. , Garbia, H. , Karray, E. , Tounsi, K. , Kallel, A. and Solaiman, B. (2019) Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method. Advances in Remote Sensing, 8, 99-108. doi: 10.4236/ars.2019.84007.

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