@MastersThesis{Rosemback:2007:AnDiCo,
author = "Rosemback, Roberta",
title = "An{\'a}lise da din{\^a}mica da cobertura vegetal na regi{\~a}o
sul do Brasil a partir de dados MODIS-TERRA",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2007",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2007-09-27",
keywords = "XXX.",
abstract = "Dentre as pesquisas relacionadas ao uso e cobertura da terra, a
din{\^a}mica da vegeta{\c{c}}{\~a}o e a conex{\~a}o desta com
a variabilidade clim{\'a}tica vem sendo um tema muito explorado,
especialmente com informa{\c{c}}{\~o}es obtidas por
sensoriamento remoto. Este trabalho analisa a din{\^a}mica da
cobertura vegetal na Regi{\~a}o Sul do Brasil a partir do
{\'{\I}}ndice de Vegeta{\c{c}}{\~a}o por Diferen{\c{c}}a
Normalizada (NDVI) gerado pelo sistema MODIS-Terra e dados
meteorol{\'o}gicos durante o per{\'{\i}}odo de Fevereiro de
2000 a Fevereiro de 2006. Foram aplicados m{\'e}todos
estat{\'{\i}}sticos tradicionais para a observa{\c{c}}{\~a}o
da variabilidade espa{\c{c}}o-temporal e do comportamento
m{\'e}dio da vegeta{\c{c}}{\~a}o e da precipita{\c{c}}{\~a}o.
Os resultados indicam que apesar do regime de chuvas ter sido
quase homog{\^e}neo durante o per{\'{\i}}odo, a primavera
mostrou-se a mais chuvosa das esta{\c{c}}{\~o}es, seguida do
ver{\~a}o, outono e inverno. Em geral na regi{\~a}o Sul
per{\'{\i}}odos secos acarretam anomalias negativas de NDVI e
per{\'{\i}}odos chuvosos geram anomalias positivas. A
an{\'a}lise das correla{\c{c}}{\~o}es entre NDVI e o transporte
horizontal de vapor de {\'a}gua mostram o papel da Amaz{\^o}nia
e do Oceano Atl{\^a}ntico Sudoeste. Destacam-se as seguintes
grandes manchas de cobertura vegetal: {\'a}reas de atividade
agr{\'{\i}}cola, Floresta Ombr{\'o}fila Mista, Floresta
Estacional Decidual, e a Floresta Estacional Semidecidual. Foi
poss{\'{\i}}vel observar comportamentos semelhantes em tipos
vegetais diferentes, como {\'e} o caso da Savana, Floresta
Ombr{\'o}fila Densa e {\'A}reas de Tens{\~a}o Ecol{\'o}gica; e
Floresta Estacional Semidecidual e Decidual. A Floresta
Ombr{\'o}fila Mista, Estepe, e a Savana Est{\'e}pica apresentam
comportamento caracter{\'{\i}}stico. Tamb{\'e}m foi aplicada a
t{\'e}cnica de Transformada de Ondaleta para a
detec{\c{c}}{\~a}o do comportamento da vegeta{\c{c}}{\~a}o em
termos de escalas temporais (freq{\"u}{\^e}ncias), ou seja,
ciclos peri{\'o}dicos e aperi{\'o}dicos. Foram identificados: um
ciclo anual (entre 10 e 15 meses na escala de periodicidade) bem
definido; um ciclo semi-anual (entre 5 e 7 meses) n{\~a}o
t{\~a}o marcante; e ciclos de menor escala com baixa magnitude.
Destaca-se que em alguns casos ocorreram n{\'{\i}}tidas
intera{\c{c}}{\~o}es de escalas, situa{\c{c}}{\~o}es desse
tipo indicam um impacto maior do clima sobre a cobertura vegetal.
A explora{\c{c}}{\~a}o desses dados e t{\'e}cnicas se mostrou
v{\'a}lida ao cumprir os objetivos propostos e fomentar novas
discuss{\~o}es a cerca da otimiza{\c{c}}{\~a}o dos recursos
atualmente dispon{\'{\i}}veis para este tipo de an{\'a}lise.
ABSTRACT: Amongst the research on land use and land cover,
vegetation dynamic and its connection with climate variability is
an important issue, especially when the use of remote sensing is
considered. This study analyses the vegetation cover dynamic in
Southern Brazil using the Normalized Difference Vegetation Index
generated by the MODIS/Terra system and observed precipitation
datasets from February 2000 to February 2006 period. Traditional
statistical methods were used to observe the vegetation and
precipitation space-timing variability and average behavior.
Despite the even distribution of rainfall during this period, the
austral spring was the rainiest season, followed by summer, autumn
and winter. The results show that in general dry periods were
correlated to NDVIs negative anomalies, while wet periods led to
NDVIs positive anomalies. The cross correlation analysis of NDVI
and the horizontal water vapor transport show the role of Amazon
Basin and the SW Atlantic Ocean. The main observed vegetation
coverage types were: agriculture areas, Tropical Mixed
Ombrophilous Forest, Deciduous Seasonal Forest, and Semideciduous
Seasonal Forest. Similar behaviors occurred in different
vegetation types such as Savanna, Tropical Close Ombrophilous
Forest and Ecotones areas, as well as Semideciduous Seasonal
Forest and Deciduous Seasonal Forest. Tropical Mixed Ombrophilous
Forest, Steppe Savanna, and Arboreous Savanna presented a
particularly unique behavior. The Wavelet Transform was applied to
the NDVI dataset samples in order to detect the variability of
vegetation in different time scales (frequencies). This procedure
allowed the depiction of several periodical and non-periodical
vegetation cycles. The annual cycle was clearly demarked (between
10 and 15 months on the periodicity scale). The semi-annual cycle
was also present (between 5 and 7 months), but was less clearly
defined. Fluctuations in shorter scale cycles were also distinct.
In some cases there was a clear interaction or superposition of
scales suggesting a stronger impact on the local vegetation cover.
The use of NDVI MODIS data and proposed methodology was
appropriate to accomplish the study objectives and provided
insight into optimization of the available resources.",
englishtitle = "Dynamic analysis of vegetation cover in southern brazil using
MODIS/TERRA data",
language = "pt",
ibi = "6qtX3pFwXQZGivnK2Y/Soerg",
url = "http://urlib.net/ibi/6qtX3pFwXQZGivnK2Y/Soerg",
targetfile = "DF_09out07.pdf",
urlaccessdate = "16 jun. 2024"
}