Format: ORAL

FlaviaDurgante1,2; Hilana Hadlich2; Caroline Vasconcelos2; Caroline Mallmann3; Ricardo Perdiz2; Jochen Schongart2; Maria Tereza Fernandes Piedade2; Florian Wittmann1,2

1- Department of Wetlands, IFGG, Karlsruhe Institute of Technology, Rastatt, Germany 2- Botanical Post Graduate Course at National Institute of Amazonian Research, Manaus, Brazil 3- Department of Geography, Federal University of Santa Maria, Santa Maria, Brazil

Identifying species levels in hyperdiverse areas such as the Amazon Forest is a time-consuming, laborious process that is also prone to many errors. Developing fast and low-cost methods to support the species identification process in the field is fundamental for improving the quality of the inventories of the Amazon Forest. To meet this objective, we tested two spectrometers in the field, the ASD FieldSpec 4 (spectral range 350-2500 nm, weight 8 kg, cost $90,000) and the MicroNIR InnoSpec (spectral range 900-1700 nm, weight 300 g, cost $2,000) to recognize species field during the forest inventory of standing trees using the spectra of the inner bark and discriminant analysis. It was possible to determine that the MicroNIR device is not available to recognize species via spectra of the bark. The accuracy of the Micronir was less than 50%compared to the accuracy of the ASD FieldSpec, which was more than 90% for the same trees. The MicroNIR has a shorter wavelength and lower resolution than ASD FieldSpec, and the quality of the spectral information was insufficient. Recognizing the efficiency of a cheaper and smaller device in identifying species in the field with high precision can open up a range of possibilities for applying this tool in the scientific field and the timber industry, as well as by government agencies and Non Governamental Organizations. However, it is necessary to conduct more tests with different equipment to find a cheap and smaller device to recognize tree species in thefield.