@InProceedings{BreunigGalBalGaiTel:2014:SeReMu,
author = "Breunig, F{\'a}bio Marcelo and Galv{\~a}o, L{\^e}nio Soares and
Balbinot, Rafael and Gaida, William and Teles, Thiago Sousa",
affiliation = "{Universidade Federal de Santa Maria - UFSM Departamento de
Engenharia Florestal - DEF} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Federal de Santa Maria - UFSM
Departamento de Engenharia Florestal - DEF} and {Universidade
Federal de Santa Maria - UFSM Programa de
P{\'o}s-Gradua{\c{c}}{\~a}o em Geografia e Geoci{\^e}ncias -
PPGGEO} and Instituto Nacional de Pesquisas Espaciais (INPE),
Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em Sensoriamento Remoto
- PGSER",
title = "Sensoriamento remoto multiangular no estudo do Parque Estadual do
Turvo RS / Multiangular remote sensing for the study of Parque
Estadual do Turvo – RS",
booktitle = "Anais...",
year = "2014",
pages = "1--11",
organization = "Congresso Brasileiro de Cartografia, 26; Congresso Brasileiro de
Geoprocessamento; 5. Exposicarta, 25.",
keywords = "MISR, {\^a}ngulo zenital de visada, {\^a}ngulo zenital solar,
floresta decidual, monitoramento, MISR, view zenith angle, solar
zenith angle, deciduous forest, monitoring.",
abstract = "bstract: The use of images acquired by sensors at different view
geometries (stereo-pairs) is consolidated considering the
reconstruction of three-dimensional space by stereoscopic vision.
On the other hand, the use of images acquired at different view
and illumination angles is still unusual regarding the spectral
information extraction, especially in Brazil. In this context, the
work aims to make a spectral evaluation of a native forest
fragment in northwestern Rio Grande do Sul State, in South of
Brazil, using multi-angle images of the Multi-angle Imaging
Spectroradiometer (MISR) sensor. The MISR sensor, onboard the
Terra platform, acquires images in nine different view angles
(almost simultaneously) and in four multispectral bands (blue,
green, red and near infrared). The study area is the Parque
Estadual do Turvo (PET), which has an area of approximately 17,500
ha. The PET is one of the largest native forest fragments of
southern Brazil and has a great continuity in the province of
Misiones (Argentina), extending to the Parque Nacional de Foz do
Igua{\c{c}}u forest Parana, Brazil. The MISR data were acquired
from the Langley Atmospheric Sciences Data Center at NASA. For the
evaluation, the MISR products MIL2ASLS (MISR Level 2 Land Surface
Data - Bidirectional Reflectance Factor-BRF) and MIANCAGP
(Anciallary Geographic Product) were used. We used the following
softwares: MISR_viewer and ENVI. A total of up to 44 pixels
(samples) were extracted from the PET area. To avoid spectral
mixture, we defined a one kilometer buffer from the forest
boundary. Bidirectional reflectance factor data (BRF) of the four
MISR bands were analyzed as a function of the view direction and
angle. Furthermore, we additionally analyzed the patterns of
vegetation indices such as the Normalized Difference Vegetation
Index (NDVI) and Enhanced Vegetation Index (EVI). In order to
allow a comparative basis among all the bands and among the
vegetation indexes, the data were normalized to nadir viewing.
Results showed that the backscattering direction reflectance of
all the bands was higher than in the forward scattering direction.
As the view angle increased toward the backscattering direction,
the reflectance value increased. The opposite pattern was observed
in the forward scattering direction. When normalized to the nadir
viewing, the bands of green and red showed higher anisotropy. This
anisotropic pattern relates to the higher solar zenith angle in
the winter combined to the litter-fall of the forest dominant
species. NDVI showed higher isotropy throughout the year in all
view directions, when compared to the EVI. Due to its strong
correlation with the near-infrared band and the shadow fraction,
the EVI showed strong anisotropy, especially in the winter.
Results showed the importance of considering the spectral and
angular response pattern of vegetation when biophysical (Leaf Area
Index) and biochemical (chlorophyll, water content) parameters
estimates are object of study using data acquired by
pointing-capability or large field-of-view sensors are used.",
conference-location = "Gramado",
conference-year = "2014",
label = "lattes: 5861976540584134 5 BreunigGalBalGaiTel:2014:SEREMU",
language = "pt",
targetfile = "CT04-34_1402403472.pdf",
url = "http://www.cartografia.org.br/cbc/trabalhos/4/316/CT04-34_1402403472.pdf",
volume = "CT04",
urlaccessdate = "25 abr. 2024"
}