NIR spectroscopy for tree species identification based on different samples: a review

Near-infrared spectroscopy is applied in a wide range of forestry studies. Among them is tree species identification based on leaf, wood, bark and seed samples. There are different mathematical pretreatments applied to spectra and a great range of processing or classification methods, as well as variation in the accuracy/precision of the results. This paper is a review of the main manuscripts found by searching the databases of Google and the Office to Coordinate Improvement of University Personnel (CAPES), using the species names along with identification/distinction/discrimination and NIR as keywords. It describes the state of the art regarding the use of near-infrared techniques for tree species identification, from 1969 to the first months of 2024, encompassing the use of different samples, devices and main analytic methods.