Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis-NIR and mid-IR reflectance data
MetadataShow full item record
Reflectance spectroscopy has great potential to monitor and evaluate soils at large scale; however, its effectiveness in predicting properties from tropical soils still needs to be tested since their mineralogy, organic matter levels, and charge and ion adsorption dynamics are different from temperate soils. Also, it is important to assess the most appropriate spectral range for quantification of specific soil property. Therefore, this study aimed to predict physical, chemical, and mineralogical soil properties using vis-NIR (350-2500nm) and mid-IR (4000-400cm<sup>-1</sup>) spectral libraries and statistically compare their modeling performances. We used 1259 soil samples distributed along four Brazilian States. Soil particle size, chemical analyses including macro and micronutrients, and oxides from sulfuric acid digestion were performed. Vis-NIR reflectance data were obtained by the FieldSpec Pro sensor while mid-IR data were collected using the Nicolet 6700 FT-IR sensor. Support Vector Machine was used as multiple regression algorithm and modeling performance was evaluated by R<sup>2</sup>, RMSE and RPIQ. This research presented a complete prediction analysis of soil properties important for survey, classification, and fertility management. Models fit very well (0.76=R<sup>2</sup>=0.90 and 2.81=RPIQ=5.62) for sand, clay, Al<sup>3+</sup>, H + Al<sup>3+</sup>, CEC, clay activity, Fe<inf>2</inf>O<inf>3</inf>, and TiO<inf>2</inf> predictions, and showed reasonable performance (0.50=R<sup>2</sup>=0.73 and 1.83=RPIQ=3.78) for OC, Ca, Mg, SB, V%, m%, pH in H<inf>2</inf>O, oxides (Si, Al, and Mn), and Cu and Mn (micronutrients). Phosphorus, potassium and some micronutrients (Fe and B) were not reliably quantified (R<sup>2</sup>=0.47 and RPIQ=1.83). For both spectral ranges, performance indices were kept in testing steps, and no atypical distribution pattern was identified by residual analysis. Statistically, mid-IR spectral models showed better performance for 60% of the studied properties. For some oxides (Al, Fe, Ti, and Mn), vis-NIR models were better. Models developed from vis-NIR and mid-IR spectral libraries are effective and useful to quantify properties suggesting soil mineralogy, reactivity, fertility and acidity of tropical Brazilian soils; however, mid-IR is the greatest potential spectral range. The excellent results of clay (0.85=R<sup>2</sup>=0.88 and 3.88=RPIQ=5.56) and sand (0.85=R<sup>2</sup>=0.90 and 4.85=RPIQ=5.62) modeling prove that at least soil particle size analyses can be efficiently replaced by the reflectance spectroscopy methods.
Showing items related by title, author, creator and subject.
Terra, F.; Viscarra Rossel, Raphael; Demattê, J. (2019)Soil organic carbon (C) is an important indicator of agricultural and environmental quality. It improves soil fertility and helps to mitigate greenhouse gas emissions. Soil spectroscopy with either vis–NIR (350–2500 nm) ...
Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral libraryShi, Z.; Ji, W.; Viscarra Rossel, Raphael; Chen, S.; Zhou, Y. (2015)We need to determine the best use of soil vis-NIR spectral libraries that are being developed at regional, national and global scales to predict soil properties from new spectral readings. To reduce the complexity of a ...
Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrationsJi, W.; Viscarra Rossel, Raphael; Shi, Z. (2015)Visible-near infrared (vis-NIR) spectroscopy can be used to estimate soil properties effectively using spectroscopic calibrations derived from data contained in spectroscopic databases. However, these calibrations cannot ...