The manifestation of VIS-NIRS spectroscopy data to predict and map soil texture in the Triffa plain (Morocco)

Lazaar, A; Pradhan, B; Naiji, Z; Gourfi, A; El Hammouti, K; Andich, K; Monir, A

The manifestation of VIS-NIRS spectroscopy data to predict and map soil texture in the Triffa plain (Morocco)

Lazaar, A Pradhan, B

Naiji, Z Gourfi, A El Hammouti, K Andich, K Monir, A

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Publisher:: Kuwait Journal of Science
Publication Type:: Journal Article
Citation:: Kuwait Journal of Science, 2021, 48, (1), pp. 111-121
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Lazaar, A
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Naiji, Z
dc.contributor.author	Gourfi, A
dc.contributor.author	El Hammouti, K
dc.contributor.author	Andich, K
dc.contributor.author	Monir, A
dc.date.accessioned	2021-05-05T00:48:57Z
dc.date.available	2021-05-05T00:48:57Z
dc.date.issued	2021-01-01
dc.identifier.citation	Kuwait Journal of Science, 2021, 48, (1), pp. 111-121
dc.identifier.issn	2307-4108
dc.identifier.issn	2307-4116
dc.identifier.uri	http://hdl.handle.net/10453/148650
dc.description.abstract	The use of standard laboratory methods to estimate the soil texture is complicated, expensive, and time-consuming and needs considerable effort. The reflectance spectroscopy represents an alternative method for predicting a large range of soil physical properties and provides an inexpensive, rapid, and reproducible analytical method. This study aimed to assess the feasibility of Visible (VIS: 350-700 nm) and Near-Infrared and Short-Wave-Infrared (NIRS: 701-2500 nm) spectroscopy for predicting and mapping the clay, silt, and sand fractions of the soils of Triffa plain (north-east of Morocco). A total of 100 soil samples were collected from the non-root zone of soil (0-20 cm) and then analyzed for texture using the VIS-NIRS spectroscopy and the traditional laboratory method. The partial least squares regression (PLSR) technique was used to assess the ability of spectral data to predict soil texture. The results of prediction models showed excellent performance for the VIS-NIRS spectroscopy to predict the sand fraction with a coefficient of determination R = 0.93 and Root Mean Squares Error (RMSE) =3.72, good prediction for the silt fraction (R =0.87; RMSE = 4.55), and acceptable prediction for the clay fraction (R = 0.53; RMSE = 3.72). Moreover, the range situated between 2150 and 2450 nm is the most significant for predicting the sand and silt fractions, while the spectral range between 2200 and 2440 nm is the optimal to predict the clay fraction. However, the maps of predicted and measured soil texture showed an excellent spatial similarity for the sand fraction, a certain difference in the variability of clay fraction, while the maps of silt fraction show a lower difference. 2 2 2
dc.language	en
dc.publisher	Kuwait Journal of Science
dc.relation.ispartof	Kuwait Journal of Science
dc.relation.isbasedon	10.48129/KJS.V48I1.8012
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The manifestation of VIS-NIRS spectroscopy data to predict and map soil texture in the Triffa plain (Morocco)
dc.type	Journal Article
utslib.citation.volume	48
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-05-05T00:48:54Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	48
utslib.citation.issue	1

Abstract:

The use of standard laboratory methods to estimate the soil texture is complicated, expensive, and time-consuming and needs considerable effort. The reflectance spectroscopy represents an alternative method for predicting a large range of soil physical properties and provides an inexpensive, rapid, and reproducible analytical method. This study aimed to assess the feasibility of Visible (VIS: 350-700 nm) and Near-Infrared and Short-Wave-Infrared (NIRS: 701-2500 nm) spectroscopy for predicting and mapping the clay, silt, and sand fractions of the soils of Triffa plain (north-east of Morocco). A total of 100 soil samples were collected from the non-root zone of soil (0-20 cm) and then analyzed for texture using the VIS-NIRS spectroscopy and the traditional laboratory method. The partial least squares regression (PLSR) technique was used to assess the ability of spectral data to predict soil texture. The results of prediction models showed excellent performance for the VIS-NIRS spectroscopy to predict the sand fraction with a coefficient of determination R = 0.93 and Root Mean Squares Error (RMSE) =3.72, good prediction for the silt fraction (R =0.87; RMSE = 4.55), and acceptable prediction for the clay fraction (R = 0.53; RMSE = 3.72). Moreover, the range situated between 2150 and 2450 nm is the most significant for predicting the sand and silt fractions, while the spectral range between 2200 and 2440 nm is the optimal to predict the clay fraction. However, the maps of predicted and measured soil texture showed an excellent spatial similarity for the sand fraction, a certain difference in the variability of clay fraction, while the maps of silt fraction show a lower difference. 2 2 2

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