@InProceedings{CardozoPeSiSiShMo:2009:DiÁrAl,
author = "Cardozo, Francielle da Silva and Pereira, Gabriel and Silva,
Gustavo Bayma Siqueira da and Silva, Fabricio Brito and
Shimabukuro, Yosio Edemir and Moraes, Elisabete Caria",
affiliation = "{} and {} and {} and {} and {} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Discrimina{\c{c}}{\~a}o de {\'a}reas alagadas no Pantanal
sul-matogrossense a partir de imagens",
booktitle = "Anais...",
year = "2009",
editor = "Agropecu{\'a}ria, Embrapa Inform{\'a}tica",
pages = "p.99--106",
organization = "2º Simp{\'o}sio de Geotecnologias no Pantanal",
publisher = "Embrapa Inform{\'a}tica Agropecu{\'a}ria",
address = "Campinas",
keywords = "Normalized difference water index (NDWI), {\'a}reas inundadas,
sat{\'e}lites orbitais.",
abstract = "O {\'{\i}}ndice de vegeta{\c{c}}{\~a}o Normalized Difference
Water Index (NDWI) {\'e} relacionado com o conte{\'u}do de
{\'a}gua presente nas folhas, podendo ser adquirido pela
combina{\c{c}}{\~a}o de bandas dos sat{\'e}lites orbitais. O
Pantanal {\'e} uma das maiores plan{\'{\i}}cies de
sedimenta{\c{c}}{\~a}o sujeita a inunda{\c{c}}{\~o}es do
mundo, os quais determinam alagamentos peri{\'o}dicos. Sendo
assim, foi utilizado o {\'{\i}}ndice NDWI para identificar as
{\'a}reas alagadas no Pantanal Sul-Matogrossense correspondente
{\`a} {\'o}rbita-ponto 226-73 do sat{\'e}lite Landsat. Foram
utilizadas imagens do sensor TM/Landsat-5 dos dias 26/03/2007
(esta{\c{c}}{\~a}o chuvosa) e 05/07/2009 (esta{\c{c}}{\~a}o
seca), e imagens do sensor MODIS/Terra dos dias 27/03/2007 e
06/07/2009. Para a elabora{\c{c}}{\~a}o do {\'{\i}}ndice NDWI
foram selecionadas as bandas 4 e 5 do sensor TM e as bandas 2 e 7
do sensor MODIS. Os resultados mostraram que os valores de NDWI de
ambos os sensores foram estimados diferentemente, superestimando
as {\'a}reas correspondentes aos cursos d{\'a}gua ou {\'a}reas
alagadas nas {\'e}pocas de esta{\c{c}}{\~a}o seca. Al{\'e}m
disso, os valores de NDWI para {\'a}reas de savanas apresentaram
valores altos em {\'e}pocas chuvosas, diminuindo em {\'e}pocas
secas; as {\'a}reas dos cursos d{\'a}gua apresentaram valores
baixos em {\'e}pocas chuvosas, aumentando em {\'e}pocas secas; e
as {\'a}reas de vegeta{\c{c}}{\~a}o que acompanham a rede de
drenagem apresentaram valores intermedi{\'a}rios em ambas as
esta{\c{c}}{\~o}es. Por fim, notou-se que o sensor TM se mostrou
um pouco mais eficaz na identifica{\c{c}}{\~a}o das {\'a}reas
alagadas do que o sensor MODIS devido as suas
caracter{\'{\i}}sticas espaciais e espectrais. ABSTRACT: The
Normalized Difference Water Index (NDWI) is a vegetation index
related to the water content in the leaves, obtained by combining
bands of orbital satellites. The Pantanal is one of the largest
sedimentary plains of floodplain in the world, with periodic
flooding. Thus, the NDWI was used to identify the flooded areas in
the Pantanal region corresponding to the Landsat 226-73 path-row.
TM/Landsat-5 images from 27/03/2007 (wet season) and 06/07/2009
(dry season), and MODIS/Terra images from 27/03/2007 and
06/07/2009 were used in this work. To develop NDWI index were used
bands 4 and 5 from TM sensor and bands 2 and 7 from MODIS sensor.
The results showed that the sensors estimated differently the NDWI
values, overestimating the areas corresponding to water courses or
wetlands in periods of dry season. Moreover, the NDWI values of
savanna areas showed higher values during rainy season, decreasing
during the dry period; areas of the water courses showed low
values during wet season, increasing during dry periods; and the
areas of vegetation close to the water courses showed intermediary
values in both seasons. Finally, it was noted that the TM sensor
showed somewhat more effective in identifying wetlands than the
MODIS sensor due to their spatial and spectral characteristics.",
conference-location = "Corumb{\'a}, MS",
conference-year = "7 a 11 de novembro de 2009",
language = "pt",
organisation = "Embrapa Inform{\'a}tica Agropecu{\'a}ria e Inpe",
targetfile = "p141.pdf",
urlaccessdate = "12 maio 2024"
}