Leaf spectra of four broadleaved deciduous tree species in Finland

Published: 29 June 2022| Version 1 | DOI: 10.17632/3hswxj5nff.1
Contributors:
Nea Kuusinen, Emma Lakaniemi, Aarne Hovi,

Description

This dataset contains measurements of leaf reflectance and transmittance spectra of four broadleaved deciduous tree species from Southern Finland. The measurements were conducted between 8th and 23rd June 2022, when the leaves were fully developed. The sampled tree species were common aspen (Populus tremula L.), goat willow (Salix caprea L.), grey alder (Alnus incana (L.) Moench) and common alder (Alnus glutinosa (L.) Gaertn.). The trees grew in forests. Branches were detached from the trees using scissors attached to a telescope bar. Altogether, 48 branches were sampled per species: six branches from each of the eight sample trees per species. Three branches per tree were sampled from the upper (i.e., sunlit) part of the crown and three from the lower (i.e., shaded or partly shaded) part of the crown. One healthy green leaf was selected in a systematic way from each branch. Leaf directional-hemispherical reflectance and transmittance were measured both from the adaxial (upper) and abaxial (lower) side of each sample leaf. The height and diameter at breast height (1.3 m) were recorded from each tree. If you use this dataset, please cite: Kuusinen, N., Lakaniemi, E., Hovi A., Rautiainen, M. 2022. Leaf spectra of four broadleaved deciduous tree species in Finland. Mendeley Data, V1, doi: 10.17632/3hswxj5nff.1. The collection of the data is described in Data_description.pdf. Comma separated (csv) files named as reflectance_adaxial.csv, reflectance_abaxial.csv, transmittance_adaxial.csv and transmittance_abaxial.csv contain reflectance spectra of the adaxial and abaxial leaf sides and transmittance spectra of the adaxial and abaxial leaf sides, respectively, in wavelength range 350-2500 nm. samples.csv contains information for each sample as explained in Data_description.pdf.

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Institutions

Aalto-yliopisto

Categories

Spectroscopy, Remote Sensing, Tree, Boreal Forest

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