SchwanningerM.RodriguesJ.C.FacklerK., “A review of band assignments in near infrared spectra of wood and wood components”, J. Near Infrared Spectrosc. 19(5), 287–308 (2011). doi: http://dx.doi.org/10.1255/jnirs.955
2.
TsuchikawaS.SchwanningerM., “A review of recent near-infrared research for wood and paper (Part 2)”, Appl. Spectrosc. Rev.48(7), 560–587 (2011). doi: http://dx.doi.org/10.1080/05704928.2011.621079
3.
FacklerK.SchwanningerM.GradingerC.HinterstoisserB.MessnerK., “Qualitative and quantitative changes of beech wood degraded by wood-rotting basidiomycetes monitored by Fourier transform infrared methods and multivariate data analysis”, FEMS Microbiol. Lett.271(2), 162–169 (2007). doi: http://dx.doi.org/10.1111/j.1574-6968.2007.00712.x
4.
FacklerK.SchwanningerM., “Polysaccharide degradation and lignin modification during brown rot of spruce wood: A polarised Fourier transform near infrared study”, J. Near Infrared Spectrosc. 18(6), 403–416 (2010). doi: http://dx.doi.org/10.1255/jnirs.901
5.
RodriguesJ.C.AlvesA.PereiraH.PerezD.D.S.ChantreG.SchwanningerM., “NIR PLSR results obtained by calibration with noisy, low-precision reference values: Are the results acceptable?”, Holzforschung60(4), 402–408 (2006). doi: http://dx.doi.org/10.1515/HF.2006.063
6.
AlvesA.SantosA.RozenbergP.PaquesL.E.CharpentierJ.P.SchwanningerM.RodriguesJ.C., “A common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix x eurolepis”, Wood Sci. Technol.46(1–3), 157–175 (2012). doi: http://dx.doi.org/10.1007/s00226-010-0383-x
