@Article{FerreiraGronRoliShim:2013:AnSpVa,
author = "Ferreira, Matheus Pinheiro and Grondona, Atilio Efrain Bica and
Rolim, Silvia Beatriz Alves and Shimabukuro, Yosio Edemir",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Univ Fed
Rio Grande do Sul, Ctr Remote Sensing, BR-91501970 Porto Alegre,
RS, Brazil. and Univ Fed Rio Grande do Sul, Ctr Remote Sensing,
BR-91501970 Porto Alegre, RS, Brazil. and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Analyzing the spectral variability of tropical tree species using
hyperspectral feature selection and leaf optical modeling",
journal = "Journal of Applied Remote Sensing",
year = "2013",
volume = "7",
number = "1",
pages = "073502",
month = "Oct.",
keywords = "species discrimination, tropical forest, Atlantic Forest,
spectroscopy, PROSPECT-5.",
abstract = "Hyperspectral remote sensing can provide information about species
richness over large areas and may be useful for species
discrimination in tropical environments. Here, we analyze the main
sources of variability in leaf spectral signatures of tropical
trees and examine the potential of spectroscopic reflectance
measurements (450 to 2450 nm) for tree species discrimination. We
assess within-and among-species spectral variability and perform a
feature selection procedure to identify wavebands in which the
species most differ from each other. We assess the discriminative
power of these wavebands by calculating a separability index and
then classifying the species. Finally, leaf chemical and
structural parameters of each species are retrieved by inversion
of the leaf optical model PROSPECT-5. Among-species spectral
variability is almost five times greater than within-species
spectral variability. The feature selection procedure reveals that
wavebands, where species most differ, are located at the visible,
red edge, and shortwave infrared regions. Classification of the
species using these wavebands reaches 96\\% overall accuracy.
Leaf chemical and structural properties retrieve by model
inversion show that differences in leaf pigment concentrations and
leaf internal structure are the most important parameters
controlling the spectral variability of species. These parameters
also contribute to the variation in red edge position among
species.",
doi = "10.1117/1.JRS.7.073502",
url = "http://dx.doi.org/10.1117/1.JRS.7.073502",
issn = "1931-3195",
label = "isi 2013-11",
language = "en",
targetfile = "JARS_7_1_073502.pdf",
urlaccessdate = "05 maio 2024"
}