Effect of wetting on the determination of soil organic matter content using visible and near-infrared spectrometer

Geoderma - Tập 376 - Trang 114528 - 2020
Yi-Ping Wang1, Che-Kuan Lee1, Yi-Hao Dai1, Yuan Shen1,2
1Department of Soil and Environmental Sciences, National Chung-Hsing University, Taichung, Taiwan, ROC
2Innovation and Development Center of Sustainable Agriculture, National Chung-Hsing University, Taichung, Taiwan, ROC

Tài liệu tham khảo

Angelopoulou, 2020, From laboratory to proximal sensing spectroscopy for soil organic carbon estimation - a review, Sustainability, 12, 443, 10.3390/su12020443 Barnes, 1989, Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra, Appl. Spectrosc., 43, 772, 10.1366/0003702894202201 Baumgardner, 1985, Reflectance properties of soils, Adv. Agron., 38, 1 Bellon-Maurel, 2010, Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy, TrAC, 29, 1073 Bellon-Maurel, 2011, Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils – critical review and research perspectives, Soil Biol. Biochem., 43, 1398, 10.1016/j.soilbio.2011.02.019 Ben-Dor, 1995, Near-infrared analysis (NIRA) as a method to simultaneously evaluate spectral featureless constituents in soils, Soil Sci., 159, 259, 10.1097/00010694-199504000-00005 Clark, 1990, High spectral resolution reflectance spectroscopy of minerals, J. Geophys. Res., 95, 12653, 10.1029/JB095iB08p12653 Clark, 1984, Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications, J. Geophys. Res., 89, 6329, 10.1029/JB089iB07p06329 Fystro, 2002, The prediction of C and N content and their potential mineralization in heterogeneous soil samples using Vis–NIR spectroscopy and comparative methods, Plant Soil., 246, 139, 10.1023/A:1020612319014 Ge, 2014, VisNIR spectra of dried ground soils predict properties of soils scanned moist and intact, Geoderma, 221–222, 61, 10.1016/j.geoderma.2014.01.011 Gee, G.W., Bauder, J.W., 1986. Particle-size Analysis. In: Klute, A. (Ed.), Methods of Soil Analysis Part 1- Physical and Mineralogical Methods, 2nd Ed. SSSA Book Ser. 5. SSSA, ASA, Madison, WI. pp. 383–411. https://doi.org/10.2136/sssabookser5.1.2ed.c15. Henderson, 1992, High dimensional reflectance analysis of soil organic matter, Soil Sci. Soc. Am. J., 56, 865, 10.2136/sssaj1992.03615995005600030031x Hunt, 1977, Spectral signatures of particulate minerals in the visible and near- infrared, Geophysics, 42, 501, 10.1190/1.1440721 Isaksson, 1988, The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy, Appl. Spectrosc., 42, 1273, 10.1366/0003702884429869 Islam, 2003, Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy, Aust. J. Soil Res., 41, 1101, 10.1071/SR02137 Ji, 2015, Accounting for the effects of water and the environment on proximally sensed vis–NIR soil spectra and their calibrations, Eur. J. Soil Sci., 66, 555, 10.1111/ejss.12239 Knadel, 2014, The Effects of moisture conditions–from wet to hyper dry–on visible near-infrared spectra of Danish reference soils, Soil Sci. Soc. Am. J., 78, 422, 10.2136/sssaj2012.0401 Lobell, 2002, Moisture effects on soil reflectance, Soil Sci. Soc. Am. J., 66, 722, 10.2136/sssaj2002.7220 Marakkala Manage, 2018, Visible-near-infrared spectroscopy prediction of soil characteristics as affected by soil-water content, Soil Sci. Soc. Am. J., 82, 1333, 10.2136/sssaj2018.01.0052 Martin, 2002, Determination of soil organic carbon and nitrogen at the field level using near-infrared spectroscopy, Can. J. Soil Sci., 82, 413, 10.4141/S01-054 Mevik, 2004, Mean squared error of prediction (MSEP) estimates for principal component regression (PCR) and partial least squares regression (PLSR), J. Chemometr., 18, 422, 10.1002/cem.887 Minasny, 2011, Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon, Geoderma, 167–168, 118, 10.1016/j.geoderma.2011.09.008 Morra, 1991, Carbon and nitrogen analysis of soil fractions using near infrared reflectance spectroscopy, Soil Sci. Soc. Am. J., 55, 288, 10.2136/sssaj1991.03615995005500010051x Nelson, D.W., Sommers, L.E., 1996. Total carbon, organic carbon, and organic matter. In: Sparks, D.L. et al., (Eds.), Methods of Soil Analysis Part 3 - Chemical Methods, 2nd Ed. SSSA Book Ser. 5. SSSA, ASA, Madison, WI. pp. 961-1010. https://doi.org/10.2136/sssabookser5.3.c34. Nocita, 2013, Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy, Geoderma, 199, 37, 10.1016/j.geoderma.2012.07.020 Press. W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P., 1992. Numerical Recipes in Fortran: The Art of Scientific Computing. 2nd Ed. Cambridge University Press. pp. 963. Rienzi, 2014, Prediction of soil organic carbon under varying moisture levels using reflectance spectroscopy, Soil Sci. Soc. Am. J., 78, 958, 10.2136/sssaj2013.09.0408 Rodionov, 2014, Sensing of soil organic carbon using visible and near-infrared spectroscopy at variable moisture and surface roughness, Soil Sci. Soc. Am. J., 78, 949, 10.2136/sssaj2013.07.0264 Rinnan, 2009, Review of the most common pre-processing techniques for near-infrared spectra, TrAC, 28, 1201 Savitzky, 1964, Smoothing and differentiation of data by simplified least squares procedures, Anal. Chem., 36, 1627, 10.1021/ac60214a047 Stenberg, 2010, Visible and near infrared spectroscopy in soil science, Adv. Agron., 107, 163, 10.1016/S0065-2113(10)07005-7 Stenberg, 2010, Effects of soil sample pretreatments and standardized rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon, Geoderma, 158, 15, 10.1016/j.geoderma.2010.04.008 Stoner, 1981, Characteristic variations in reflectance from surface soils, Soil Sci. Soc. Am. J., 45, 1161, 10.2136/sssaj1981.03615995004500060031x TARI, 2019. Open Data Platform for Soil Resources and Land Use of Farmland in Taiwan. Available online: https://farmcloud.tari.gov.tw/SOA/ (accessed on 23 November 2019). Twomey, 1986, Reflectances and albedo differences between wet and dry surfaces, Appl. Opt., 25, 431, 10.1364/AO.25.000431 Udelhoven, 2003, Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: a feasibility study, Plant Soil, 251, 319, 10.1023/A:1023008322682 Viscarra Rossel, 2010, Using data mining to model and interpret soil diffuse reflectance spectra, Geoderma, 158, 46, 10.1016/j.geoderma.2009.12.025 Viscarra Rossel, 2016, A global spectral library to characterize the world's soil, Earth-Sci. Rev., 155, 198, 10.1016/j.earscirev.2016.01.012 Viscarra Rossel, 2015, Soil organic carbon and its fractions estimated by visible–near infrared transfer functions, Eur. J. Soil Sci., 66, 438, 10.1111/ejss.12237 Wijewardane, 2016, Moisture insensitive prediction of soil properties from VNIR reflectance spectra based on external parameter orthogonalization, Geoderma, 267, 92, 10.1016/j.geoderma.2015.12.014 Wold, 2001, PLS-regression: a basic tool of chemometrics, Chemom. Intell. Lab. Syst., 58, 109, 10.1016/S0169-7439(01)00155-1 Workman, 2008, 326