@Article{KuplichMoreFont:2013:SéTeÍn,
author = "Kuplich, Tatiana Mora and Moreira, Andreise and Fontana, Denise
C.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and UFRGS, Av. Bento
Gon{\c{c}}alves, 7712, CEP 91540-000, Porto Alegre, RS, Brazil",
title = "S{\'e}rie temporal de {\'{\i}}ndice de vegeta{\c{c}}{\~a}o
sobre diferentes tipologias vegetais no Rio Grande do Sul / Time
series of vegetation index for different vegetation types in Rio
Grande do Sul",
journal = "Revista Brasileira de Engenharia Agr{\'{\i}}cola e Ambiental",
year = "2013",
volume = "17",
number = "10",
pages = "1116--1123",
keywords = "{\'{\i}}ndice de vegeta{\c{c}}{\~a}o melhorado, ondaleta,
fenologia, sensoriamento remoto, enhanced vegetation index,
wavelet, phenology, remote sensing.",
abstract = "Com este trabalho objetivou-se identificar a din{\^a}mica
fenol{\'o}gica das principais tipologias vegetais do Rio Grande
do Sul, para o per{\'{\i}}odo de 2000 a 2010, utilizando-se
dados de Enhanced Vegetation Index, atrav{\'e}s da transformada
de ondaleta. A identifica{\c{c}}{\~a}o da fenologia em ciclos ou
padr{\~o}es sazonais em s{\'e}ries temporais de {\'{\i}}ndices
de vegeta{\c{c}}{\~a}o, obtidos por sensores orbitais, permite a
observa{\c{c}}{\~a}o de anomalias e os efeitos de
mudan{\c{c}}as clim{\'a}ticas ou ambientais. Um perfil temporal
do Enhanced Vegetation Index foi constru{\'{\i}}do para o Rio
Grande do Sul e retiradas amostras para quatro tipologias
vegetais: campo nativo, floresta ombr{\'o}fila mista, cultivo de
soja e de arroz. Essas amostras foram submetidas {\`a}
transformada de ondaleta, que permitiu a decomposi{\c{c}}{\~a}o
da s{\'e}rie e apresenta{\c{c}}{\~a}o dos dados em
rela{\c{c}}{\~a}o ao tempo e frequ{\^e}ncia com que os eventos
fenol{\'o}gicos ocorreram. Os dados apresentaram regularidade na
din{\^a}mica das tipologias vegetais testadas, com ciclos anuais
de maior vigor e crescimento vegetal nas esta{\c{c}}{\~o}es de
primavera e ver{\~a}o e menor no outono e inverno. ABSTRACT: The
objective of this study was the identification of the phenology
dynamics of the main types of vegetation of Rio Grande do Sul
state, for the period from 2000 to 2010, using Enhanced Vegetation
Index data through the wavelet transform. The identification of
cycles or seasonal patterns in time series of vegetation indices
obtained by orbital sensors allows the observation of anomalies
and effects of climate and environmental change. A temporal
profile of Enhanced Vegetation Index was built for the Rio Grande
do Sul region, where samples of the four main plant typologies
were selected: native grassland, mixed ombrophilous forest,
soybean and rice crop. These samples were submitted to the wavelet
transform, which allowed the decomposition of the series and
presentation of data in relation to time and frequency with which
the phenological events have occurred. The data showed regularity
in the dynamics of vegetation types tested, with annual cycles of
plant growth and higher Enhanced Vegetation Index values in spring
and summer and lower Enhanced Vegetation Index values in autumn
and winter.",
doi = "10.1590/S1415-43662013001000014",
url = "http://dx.doi.org/10.1590/S1415-43662013001000014",
issn = "1415-4366",
label = "scopus 2013-11",
language = "pt",
targetfile = "14.pdf",
urlaccessdate = "07 maio 2024"
}