Estimation of aggregate stability of some soils in the loam belt of Belgium using mid-infrared spectroscopy

Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon

“…In the VIS-NIR region, the main chemical elements of interaction with electromagnetic radiation in soils, also called "chromophores", include the organic matter, OH in free water, clay mineral lattice, and other minerals such as iron oxides (Nocita et al, 2015;Stenberg et al, 2010;Viscarra Rossel et al, 2016). In contrast, more information about the soils (e.g., Si-containing minerals [primarily quartz]) can be obtained in the MIR, as fundamental vibrations of molecules take place in this spectral region (Afriyie et al, 2020;Nocita et al, 2015;Soriano-Disla et al, 2014). Since overtones and combinations in VIS-NIR region are the result of fundamental vibrations in MIR region, the VIS-NIR is less sensitive to accurately estimate soil attributes (Soriano-Disla et al, 2014).…”

“…With its ease to use and fast measurement, proximal soil sensing (PSS) has become increasingly popular to characterize soil properties (Franceschini et al, 2018;Knox et al, 2015;Mouazen et al, 2007;Munnaf et al, 2021;Nawar et al, 2020;Nocita et al, 2015;O'Rourke et al, 2016;Reeves, 2010;Stenberg et al, 2010;Viscarra Rossel et al, 2016Vohland et al, 2016a;Xu et al, 2019b). The most commonly used PSS techniques include X-ray fluorescence spectroscopy, laser-induced breakdown spectroscopy, visible-to-near-infrared (VIS-NIR), and mid-infrared (MIR) spectroscopy (Afriyie et al, 2020;Allo et al, 2020;Bellon-Maurel and McBratney, 2011;Chen et al, 2020b;Coblinski et al, 2020;Hutengs et al, 2019;Johnson et al, 2019;Knox et al, 2015;Munnaf et al, 2021;O'Rourke et al, 2016;Reeves, 2010;Soriano-Disla et al, 2014;Terra et al, 2019;Viscarra Rossel et al, 2006;Xu et al, 2019aXu et al, , 2019bXu et al, , 2019c. With the help of spectral preprocessing and multivariate modeling, various soil properties, such as SOC, have been estimated successfully using individual sensors.…”

Changes in actual evapotranspiration and its dominant drivers across the Three-River Source Region of China during 1982–2014

“…Partial least squares regression (PLSR) is a robust analytical tool that combines the features of multiple linear regression and principal component analysis (Abdi 2007;Yan et al 2013). The PLSR has been widely used in hydrology studies because it can effectively address the problem of multi-collinearity among different predictors (Ma et al 2015;Afriyie et al 2020;Ndehedehe & Ferreira 2020;Zhang & Wang 2021). As a result, this method can ensure that only significant components relevant to the response variable are retained when conducting regression (Shi et al 2013).…”

Estimating soil aggregate stability with infrared spectroscopy and pedotransfer functions

“…Also, within a land use, soil management can impact aggregate stability, like tillage which reduce it by breaking up aggregates (Paul et al, 2013). As an alternative to direct estimation of aggregate stability methods, the use of pedotransfert functions relying either on laboratory analysis (hereafter referred to as the lab-based approach) or on infrared spectroscopy have recently been developed (Afriyie et al, 2020;Annabi et al, 2017;Erktan et al, 2016b;Gomez et al, 2013;Shi et al, 2020). These approaches show that estimation and prediction of aggregate stability is possible using pedotransfert functions for small geographical areas, at the size of the parcel (Afriyie et al, 2020; to that of landscape (Erktan et al, 2016b) or that of the small region (Annabi et al, 2017;Gomez et al, 2013;Shi et al, 2020).…”