@InProceedings{MouraHIGaSaLySo:2015:UsMuIm,
author = "Moura, Yhasmin Mendes de and HIlker, Thomas and Galv{\~a}o,
L{\^e}nio Soares and Santos, Jo{\~a}o Roberto dos and Lyapustin,
Alexei and Sousa, Celio Helder Resende de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Using Multi-Angle Implementation of Atmospheric Correction (MODIS)
to characterize anisotropy in the Amazonian forests",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2459--2467",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The objective of this work is to present initial results of a new
method to evaluate vegetation patterns in the Amazon rainforests
based on multi-angle satellite observations. We used MODIS
Enhanced Vegetation Index (EVI) data processed by MAIAC algorithm
to generate anisotropy, calculated by the differences between
hotspot and darkspot reflectance. We compared Anisotropy with EVI
using two images (June 2008), both processed by MAIAC, to
demonstrate the potential of using anisotropy for mapping
vegetation structure of different forests types. We also analyzed
seasonal variability between anisotropy and EVI, and compared our
findings with variability of monthly water deficit for the region.
Finally, we discussed the use of anisotropy to infer
spatial-temporal changes in vegetation structure. The results
showed larger spatial variability of anisotropy, while EVI varied
only to a limited extend across the study area. The regional
differences in anisotropy may therefore better represent the
structural heterogeneity across forested areas in the Amazon,
based on the interaction of vegetation with multi-angle
scattering. Seasonal changes were more gradual when using
Anisotropy compared to using EVI. This gradient transition across
months is in good agreement with water deficit patterns derived
from the Tropical Rainfall Measurement Mission (TRMM). Our study
hypothesizes that multiangular information are useful sources to
analyze structural changes in different types of forests, and may
provide new opportunities to monitor tropical forests, from
optical remote sensing.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "493",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4A3C",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A3C",
targetfile = "p0493.pdf",
type = "Floresta e vegeta{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}