Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability

Ludwig, Bernard; Khanna, P.; Bauhus, Jürgen; Hopmans, P.

doi:10.1016/s0378-1127(02)00467-x

Cited by 117 publications

(84 citation statements)

References 23 publications

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“…2 values obtained in this study for these two parameters are lower than those obtained by Ludwing et al (2002), who reported an R 2 of 0.95 in calibration, with carbon levels of 1.4 to 16.8 % in soil samples.…”

Section: The Rcontrasting

confidence: 90%

“…These methods, even when they are reliable, require 16 h to generate results and require high environmental impacts. Near-infrared spectroscopy (NIRS) has been utilized for predicting total concentrations and , Sergio Salgado-García 2 , David J. Palma-López 2 , and Wilder Camacho-Chiu the spatial variation of nitrogen and carbon (and other elements) in soils (Ludwing et al, 2002;Odlare et al, 2005;Shenk, 2004;Cozzolino and Moron, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

et al. 2012

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A. Jarquín-Sánchez, S. Salgado-García, D.J. Palma-López, and W. Camacho-Chiu. 2012. Analysis of organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics. Cien. Inv. Agr. 39(2): 387-394. The objective of this study was to predict the concentration of soil organic matter (SOM) in tropical soils using near-infrared spectroscopy (NIRS) for samples measured within a polyethylene bag and without a bag. One hundred and fifty six soil samples from the humid tropics of Tabasco, Mexico with contrasting chemical characteristics were selected. The samples were dried, ground, and sieved through 2 mm and 5 mm screens, and their SOM contents were determined using the Walkley-Black method. The soil samples were packed in polyethylene bags, and SOM was measured directly with and without a bag using a quartz probe (FOSS 5000 model of NIRsystems, DK-3400 Hillerod,Denmark) for a range from 1100 to 2000 nm to obtain a prediction model of SOM. The model for determining SOM for bagged samples had good fit and explained 88% of the variation (0 to 10, 2% of SOM of samples). The model for determining SOM for bag-less samples was not efficient for predicting independent samples and therefore was discarded. The analysis by NIRS was reliable, more rapid, and easier for the determination of SOM in soil samples measured through a plastic bag.

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Section: The Rcontrasting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

et al. 2012

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“…The exceptions are Ludwig et al (2002), Chodak et al (2002), and Couteaux et al (2003), reporting on two Eucalyptus sites in Australia, three spruce and birch sites in Germany and five coniferous sites in Sweden and France, respectively. Their results from data sets ranging between 255 and 500 mg C g_1 show that in all three cases R2 values were greater than 0.96, although the RMSE values were high, ranging between 14 and 24 mg g_1.…”

Section: Soil Organic Matter (Som)mentioning

confidence: 99%

Visible and Near Infrared Spectroscopy in Soil Science

Stenberg

Rossel

Mouazen

et al. 2010

Advances in Agronomy

1,133

845

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This chapter provides a review on the state of soil visible-near infrared (vis-NIR) spectroscopy. Our intention is for the review to serve as a source of up-to date information on the past and current role of vis-NIR spectroscopy in soil science. It should also provide critical discussion on issues surrounding the use of vis-NIR for soil analysis and on future directions. To this end, we describe the fundamentals of visible and infrared diffuse reflectance spectroscopy and spectroscopic multivariate calibrations. A review of the past and current role of vis-NIR spectroscopy in soil analysis is provided, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals. We then discuss the performance and generalization capacity of vis-NIR calibrations, with particular attention on sample pre-tratments, co-variations in data sets, and mathematical data preprocessing. Field analyses and strategies for the practical use of vis-NIR are considered. We conclude that the technique is useful to measure soil water and mineral composition and to derive robust calibrations for SOM and clay content. Many studies show that we also can predict properties such as pH and nutrients, although their robustness may be questioned. For future work we recommend that research should focus on: (i) moving forward with more theoretical calibrations, (ii) better understanding of the complexity of soil and the physical basis for soil reflection, and (iii) applications and the use of spectra for soil mapping and monitoring, and for making inferences about soils quality, fertility and function. To do this, research in soil spectroscopy needs to be more collaborative and strategic.

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“…Since this simple assembly is relatively easy to implement, the NIRS technique is being widely used in nondestructive quality analysis for food, feed, pharmaceutical, and agricultural industries [20][21][22]. In ecological studies, NIRS has been successfully used for the determination of organic compounds in soils [23][24][25], or to characterize the composition of forest foliage and forest litters [26][27][28][29]. Gillon et al predicted litter decomposability more accurately by NIRS than by the initial litter composition measured by standard chemical methods [30].…”

Section: Introductionmentioning

confidence: 99%

Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique

et al. 2017

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Near-infrared spectroscopy (NIRS) was implemented to monitor the moisture content of broadleaf litters. Partial least-squares regression (PLSR) models, incorporating optimal wavelength selection techniques, have been proposed to better predict the litter moisture of forest floor. Three broadleaf litters were used to sample the reflection spectra corresponding the different degrees of litter moisture. The maximum normalization preprocessing technique was successfully applied to remove unwanted noise from the reflectance spectra of litters. Four variable selection methods were also employed to extract the optimal subset of measured spectra for establishing the best prediction model. The results showed that the PLSR model with the peak of beta coefficients method was the best predictor among all of the candidate models. The proposed NIRS procedure is thought to be a suitable technique for on-the-spot evaluation of litter moisture.

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Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability

Cited by 117 publications

References 23 publications

Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

Analysis of soil organic matter in tropical soils with near-infrared spectroscopy (NIRS) and chemometrics

Visible and Near Infrared Spectroscopy in Soil Science

Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique

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