Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength

作     者：Najmeh ASGARI Shamsollah AYOUBI Jose Alexandre Melo DEMATTê AndréCarnieletto DOTTO Najmeh ASGARI;Shamsollah AYOUBI;Jose Alexandre Melo DEMATI(E);André Carnieletto DOTTO

作者机构：Department of Soil ScienceCollege of AgricultureIsfahan University of Technology841156-83111IsfahanIran Department of Soil ScienceCollege of Agriculture Luiz de QueirózAv.Pádua Dias11CEP 13418-900PiracicabaSão PauloBrazil 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2020年第17卷第7期

页      面：1636-1651页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

基　　金：the financial support of Iran National Science Foundation(INSF)for project No:98007874 

主　　题：Modeling Reflectance spectroscopy Soil analysis Preprocessing 

摘      要：The soil carbon pool which is the sum of soil organic carbon(SOC)and soil inorganic carbon(SIC)is the second largest active store of carbon after the oceans and it is an important component of the global carbon ***,accurate estimation of SOC and SIC as important carbon reservoirs in terrestrial ecosystems using fast,inexpensive and non-destructive methods is crucial for planning different climate change *** aim of the current research was to examine the effectiveness of Vis-NIR(visible and near-infrared spectroscopy:350-2500 nm)and MIR(mid-infrared spectroscopy:4000-400 cm-1)to characterize and estimate soil organic matter(SOM)and carbonates as main components of soil carbon stocks in Juneqan,Charmahal va Bakhtiari,*** do so,a total of 548 soil samples from this area were collected(October 2015)and analyzed in laboratory(August 2017).In order to develop models capable of predicting SOM and carbonates content,seven spectral preprocessing methods comprising Absorbance(Abs),De-trending(Det),Continuum removal(CR),Savitzky-Golay derivatives(SGD),standard normal variate transformation(SNV),multiplicative scatter correction(MSC)and Normalization by range(NBR)were conducted along with five multivariate methods including Random Forest(RF),Partial Least-Squares Regression(PLSR),Artificial Neural Network(ANN),Support Vector Machine(SVM)and Gaussian Process Regression(GPR).The content of carbonates caused spectral reflectance intensity to augment on several ranges of spectrum and strong absorption feature at 2338 nm in the Vis-NIR and 714,850,870,1796,2150 and 2510 cm-1 in the MIR spectra *** absorbed energy in several ranges,but also showed specific peaks in *** facts are associated with the structure of carbonates and SOM and its interaction with *** best combination of preprocessing and calibration models for carbonates quantification in Vis-NIR spectra was Det/PLSR(R2=0.74,RPD=2.19,RMSE=6.45).For SOM,it was Det/PLSR(R2=0.82,RPD=2.41,RM