@MastersThesis{Arai:2002:FeExPr,
author = "Arai, Egidio",
title = "Uma ferramenta para extrair e processar dados do sensor SEAWIFS",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2002",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2002-09-13",
keywords = "processar dados, sensor SEAWIFS.",
abstract = "Atualmente existem uma diversidade de sat{\'e}lites de recursos
naturais, que carregam a bordo sensores multiespectrais, que
fornecem dados que podem ser utilizados de v{\'a}rias formas.
Dentre estes sensores destaca-se Sea-viewing Wide Field-of-view
sENSOR (seaWIFS), que est{\'a} a bordo do sat{\'e}lite Seastar e
foi concebido para examinar os fatores biogeoqu{\'{\i}}micos que
afetam as mudan{\c{c}}as clim{\'a}ticas globais. As imagens
deste sensor se encontram dispon{\'{\i}}veis no formato
Hierarchical Data Formal (HDF), que a NASA definiu como
padr{\~a}o para amarzenar e disseminar os dados dos novos
sensores sob sua responsabilidade. A falta de uma ferramenta para
manipular dados do sensor SeaWIFS na plataforma PC/Windows motivou
a execus{\~a}o deste trabalho. Assim, apresenta-se uma
ferramenta, WinSWHDF, para extrair e processar os dados
provenientes deste sensor. Devido a caracter{\'{\i}}stica da
variedade de dados gerados pelo sensor SeaWIFS, o formato HDF
{\'e} capaz de acomodar essas informa{\c{c}}{\~o}es de forma
organizada e confi{\'a}vel. A ferramenta desenvolvida, {\'e}
capaz de extrair n{\~a}o s{\'o} as imagens, mas tamb{\'e}m os
dados de navega{\c{c}}{\~a}o para possibilitar a convers{\~a}o
para a proje{\c{c}}{\~a}o cil{\'{\i}}ndrica equidistante. Na
corre{\c{c}}{\~a}o radiom{\'e}trica foi implementado somente a
corre{\c{c}}{\~a}o devido a degrada{\c{c}}{\~a}o dos
detectores do sensor com o tempo. Al{\'e}m disso, a ferramenta
oferece a op{\c{c}}{\~a}o de realizar a corre{\c{c}}{\~a}o
atmosf{\'e}rica. O WinSWHDF foi desenvolvido em ambiente Windows
possuindo recursos de visualiza{\c{c}}{\~a}o e processamento de
imagens, composi{\c{c}}{\~a}o de mosaicos e a
sobreposi{\c{c}}{\~a}o do contorno pol{\'{\i}}tico do Brasil e
de seus estados. A ferramenta desenvolvida permite gerar
v{\'a}rios produtos para diferentes {\'a}reas de pesquisa.
Implementou-se tamb{\'e}m nesta ferramenta, rotinas para o
c{\'a}lculo do {\'{\i}}ndice de vegeta{\c{c}}{\~a}o por
diferen{\c{c}}a normalizada (IVDN) para estudo da cobertura
vegetal, que foi utilizado para a avalia{\c{c}}{\~a}o dos dados
SeaWIFS. ABSTRACT: Currently exist a diversity of earth
Observation satellites, that carry on board a variety of
multispectral sensors, providing data that can be used in serveral
forms. Amongst these sensors we can mention the Sea-viewing Wide
Field-of-view Sensor (SeaWIFS), which is on board the Seastar
satellite and was conceived to study biogeochemicastry factors
that affect global climate changes. The data from this sensor ae
available in Hierarchical Data Format (HDF), that NASA defined as
the standard formart for storage and distribution of the data from
new sensors under its responsibility. The lack of tools to
manipulate data from SeaWIFS in the PC/Windows platform motivated
the development of this work. Then work describes a tool for
extracting and processing the data acquired by this sensor. Due to
the characteristic of the variety of the data from this sensor ,
HDF is capable to accomodate these information in an organized and
reliable form. The developed tool, Win SWHDF, is capable to
extract the images, and also the navigation and calibration
information, which are used in their geometric and radiometric
corretions. For the geometric corretion, a navigation algorithm
was implemented to make possible the conversion, a equidistant
cylindrical projection. The radiometric correction is performed to
compensate the degradation of the sensor's detectors. Moreover,
the tool offers the option to apply the atmospheric corretion. The
WinSWHDF was developed in Windows platform providing resources of
images visualization and processing composition of mosaics and the
overlapping of the political contour of Brazil and its States. The
developed tool allows to generate some products for different
research areas. For this work, the Normalized Difference
Vegetation Index (NDVI) to study vegetation cover was generated in
oder to evaluate the SeaWIFS data.",
committee = "Vijaykumar, Nandamudi Lankalapalli (presidente) and Ning, Carlos
Ho Shih (orientador) and Shimabukuro, Yosio Edemir (orientador)
and Ferreira, Nelson Jesus and Bastos, Eduardo Jorge de Brito",
copyholder = "SID/SCD",
englishtitle = "A tool for extracting and processing data from SEAWIFS sensor",
label = "10569",
language = "pt",
pages = "159",
ibi = "6qtX3pFwXQZ3r59YCT/H3LJL",
url = "http://urlib.net/ibi/6qtX3pFwXQZ3r59YCT/H3LJL",
targetfile = "Eg{\'{\i}}dio Arai.pdf",
urlaccessdate = "02 maio 2024"
}