SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES

The objective of this study is to evaluate the spectral difference between and within 11 tree species belonging to Brazilian Atlantic Forest located in the countryside of São Paulo State, Brazil. Tree species with different development stages may have different reflectance spectra because of the str...

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Main Authors: G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, E. Honkavaara
Format: Article
Language:English
Published: Copernicus Publications 2020-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/49/2020/isprs-archives-XLII-3-W12-2020-49-2020.pdf
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author G. T. Miyoshi
N. N. Imai
N. N. Imai
A. M. G. Tommaselli
A. M. G. Tommaselli
E. Honkavaara
author_facet G. T. Miyoshi
N. N. Imai
N. N. Imai
A. M. G. Tommaselli
A. M. G. Tommaselli
E. Honkavaara
author_sort G. T. Miyoshi
collection DOAJ
description The objective of this study is to evaluate the spectral difference between and within 11 tree species belonging to Brazilian Atlantic Forest located in the countryside of São Paulo State, Brazil. Tree species with different development stages may have different reflectance spectra because of the structural and phenological influence on it. Tree structure can affect the crown spectra due to the differences in geometry of view and density of shadow and sunlight pixels. Additionally, reflectance spectra can be similar between tree species belonging from different species, which affect the classification accuracy of these targets. In this sense, we evaluate the spectral difference between highly diverse Atlantic Forest using two different features extracted from individual tree crowns (ITCs). Mean reflectance spectra and mean normalized reflectance spectra of each ITC were used. They were computed from hyperspectral images acquired with sensor onboard unmanned aerial vehicle. Differences between tree species and within-species were calculated. Wilcoxon-Mann-Whitney test was applied in order to statistically evaluate whether the reflectance spectra were different. Results showed that the normalized values are more propense to increase the classification accuracies than using the mean values since it reduces the variability within-species and present a higher number of different values between-species.
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spelling doaj.art-a9e982cca8ef44869858d3ce71eed8b92022-12-21T17:25:25ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-11-01XLII-3-W12-2020495410.5194/isprs-archives-XLII-3-W12-2020-49-2020SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGESG. T. Miyoshi0N. N. Imai1N. N. Imai2A. M. G. Tommaselli3A. M. G. Tommaselli4E. Honkavaara5Graduate Program in Cartographic Sciences, São Paulo State University (UNESP), Presidente Prudente, SP 19060-900, BrazilGraduate Program in Cartographic Sciences, São Paulo State University (UNESP), Presidente Prudente, SP 19060-900, BrazilDept. of Cartography, São Paulo State University (UNESP), Presidente Prudente, SP 19060-900, BrazilGraduate Program in Cartographic Sciences, São Paulo State University (UNESP), Presidente Prudente, SP 19060-900, BrazilDept. of Cartography, São Paulo State University (UNESP), Presidente Prudente, SP 19060-900, BrazilFinnish Geospatial Research Institute, National Land Survey of Finland, Geodeetinrinne 2, 02430 Masala, FinlandThe objective of this study is to evaluate the spectral difference between and within 11 tree species belonging to Brazilian Atlantic Forest located in the countryside of São Paulo State, Brazil. Tree species with different development stages may have different reflectance spectra because of the structural and phenological influence on it. Tree structure can affect the crown spectra due to the differences in geometry of view and density of shadow and sunlight pixels. Additionally, reflectance spectra can be similar between tree species belonging from different species, which affect the classification accuracy of these targets. In this sense, we evaluate the spectral difference between highly diverse Atlantic Forest using two different features extracted from individual tree crowns (ITCs). Mean reflectance spectra and mean normalized reflectance spectra of each ITC were used. They were computed from hyperspectral images acquired with sensor onboard unmanned aerial vehicle. Differences between tree species and within-species were calculated. Wilcoxon-Mann-Whitney test was applied in order to statistically evaluate whether the reflectance spectra were different. Results showed that the normalized values are more propense to increase the classification accuracies than using the mean values since it reduces the variability within-species and present a higher number of different values between-species.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/49/2020/isprs-archives-XLII-3-W12-2020-49-2020.pdf
spellingShingle G. T. Miyoshi
N. N. Imai
N. N. Imai
A. M. G. Tommaselli
A. M. G. Tommaselli
E. Honkavaara
SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
title_full SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
title_fullStr SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
title_full_unstemmed SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
title_short SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES
title_sort spectral differences of tree species belonging to atlantic forest obtained from uav hyperspectral images
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/49/2020/isprs-archives-XLII-3-W12-2020-49-2020.pdf
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