@MastersThesis{Montibeller:2018:AnEsCu,
author = "Montibeller, Bruno",
title = "An{\'a}lise espectro-temporal das culturas de milho, soja e
cana-de-a{\c{c}}{\'u}car com dados de sensor OLI/Landsat-8",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2018",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2018-04-27",
keywords = "espectro-temporal, an{\'a}lise interespec{\'{\i}}fica,
an{\'a}lise intraespec{\'{\i}}fica, soja, milho,
cana-de-a{\c{c}}{\'u}car, spectral-temporal, interspecific
analysis, intraspecific analysis, soybean, corn, sugarcane.",
abstract = "A agricultura, al{\'e}m de provedora de alimentos e energia,
{\'e} uma das atividades econ{\^o}micas de maior destaque nas
exporta{\c{c}}{\~o}es brasileiras. Produtos derivados da soja,
do milho e da cana-de-a{\c{c}}{\'u}car s{\~a}o alguns exemplos
de mercadorias agr{\'{\i}}colas exportadas. Assim,
informa{\c{c}}{\~o}es relacionadas {\`a} {\'a}rea plantada e
{\`a} produ{\c{c}}{\~a}o destas culturas s{\~a}o essenciais,
uma vez que isso afeta a cota{\c{c}}{\~a}o destes produtos. A
ado{\c{c}}{\~a}o de dados de sensoriamento remoto para pesquisas
em {\'a}reas agr{\'{\i}}colas se apresenta como uma alternativa
vi{\'a}vel e complementar aos m{\'e}todos atuais de
levantamento, fornecendo informa{\c{c}}{\~o}es atualizadas e de
forma cont{\'{\i}}nua. Essas pesquisas, geralmente, utilizam a
informa{\c{c}}{\~a}o espectral como principal vari{\'a}vel para
diversos objetivos como, mapeamento, estimativa de produtividade,
c{\'a}lculo de biomassa, etc. Entretanto, as diferentes
pr{\'a}ticas de manejo (com ou sem irriga{\c{c}}{\~a}o,
{\'e}poca de plantio, etc.) empregadas no processo de
produ{\c{c}}{\~a}o, podem alterar as caracter{\'{\i}}sticas
espectrais das culturais. Neste sentido, o presente trabalho tem
como hip{\'o}tese que a varia{\c{c}}{\~a}o espectral
intraespec{\'{\i}}fica do milho, da soja e da canade-
a{\c{c}}{\'u}car a partir de dados espectrais multitemporais do
sensor OLI, {\'e} menor que a varia{\c{c}}{\~a}o
interespec{\'{\i}}fica, independentemente das pr{\'a}ticas de
manejo adotadas ao longo do seu desenvolvimento. Assim, o objetivo
deste trabalho foi analisar o perfil espectro-temporal das
culturas de soja, milho e cana-de-a{\c{c}}{\'u}car, cultivadas
em uma {\'a}rea da Mesorregi{\~a}o de Campinas, SP, em dois anos
agr{\'{\i}}colas completos (2014/2015 e 2015/2016), a partir de
imagens do sensor OLI/Landsat-8, e verificar as diferen{\c{c}}as
espectro-temporal das culturas. S{\'e}ries temporais de imagens
OLI foram utilizadas para adquirir o perfil espectro-temporal das
tr{\^e}s esp{\'e}cies cultivadas em {\'e}pocas distintas (safra
e safrinha) e sob diferentes pr{\'a}ticas de manejos (irrigado e
n{\~a}o irrigado). Foram utilizadas seis bandas espectrais
(B2-B7) do sensor OLI e dois {\'{\i}}ndices de
vegeta{\c{c}}{\~a}o (NDVI e EVI), os quais foram calculados a
partir do valor de reflect{\^a}ncia das bandas. Com base na
informa{\c{c}}{\~a}o espectro-temporal (bandas e
{\'{\i}}ndices de vegeta{\c{c}}{\~a}o), uma an{\'a}lise
hier{\'a}rquica de agrupamento foi realizada. A partir dos
resultados, foi poss{\'{\i}}vel identificar que as bandas
espectrais (B2-B7) se mostraram mais eficientes quando comparadas
com os {\'{\i}}ndices de vegeta{\c{c}}{\~a}o, para a
divis{\~a}o e gera{\c{c}}{\~a}o de clusters de cada cultura,
permitindo assim, analisar a influ{\^e}ncia das pr{\'a}ticas
culturais. Al{\'e}m disso, um conjunto de bandas espectrais,
formado pelas tr{\^e}s bandas (B5-B6-B4), comumente utilizadas
para interpreta{\c{c}}{\~a}o visual de alvos agr{\'{\i}}colas,
geraram o mesmo resultado da an{\'a}lise baseada nas seis bandas.
Com os resultados, {\'e} poss{\'{\i}}vel inferir que a
varia{\c{c}}{\~a}o espectro-temporal intraespec{\'{\i}}fica
{\'e} menor que a varia{\c{c}}{\~a}o espectro-temporal
interespec{\'{\i}}fica, independentemente das pr{\'a}ticas de
manejo empregadas. ABSTRACT: Agriculture, besides providing food
and energy, is one of the most prominent economic activities in
Brazilian exports. Products derived from soy, corn and sugar cane
are some examples of exported agricultural commodities. Thus,
information related to the acreage and the production of these
crops are essential, since this affects the price of these
products. The adoption of remote sensing data for research in
agricultural areas is a viable and complementary alternative to
current surveying methods, providing updated and continuous
information. These surveys generally use spectral information as
the main variable for several purposes such as mapping, forecast
yield, biomass estimation, etc. However, different management
practices (with or without irrigation, planting time, etc.)
employed in the production process can alter the spectral
characteristics of the crop. In this sense, the present work has
as hypothesis that the intraspecific spectral variation of corn,
soybean and sugarcane from multitemporal OLI sensor spectral data,
is smaller than the interspecific variation, independently of the
management practices adopted during crops development. Thus, the
objective of this work was to analyze the spectrumtemporal profile
of soybean, maize and sugarcane crops grown in an area of the
mesoregion of Campinas, SP, in two full agricultural years
(2014/2015 and 2015/2016 ), from OLI/Landsat-8 sensor images, and
to verify the spectral-temporal differences of the cultures. Time
series of OLI images were used to acquire the spectrum-temporal
profile of the three species cultivated at different times
(springsummer and summer-fall) and under different management
(irrigated and nonirrigated). Six spectral bands (B2-B7) of the
OLI sensor and two vegetation indices (NDVI and EVI) were used,
which were calculated from the reflectance value of the bands.
Based on the spectral-temporal information (bands and vegetation
indices), a hierarchical cluster analysis was performed. From the
results, it was possible to identify that the spectral bands
(B2-B7) were more efficient when compared with the vegetation
indexes, for the division and generation of clusters of each
culture, thus, to analyze the influence of cultural practices. In
addition, a set of spectral bands, formed by the three bands
(B5-B6-B4) commonly used for visual interpretation of agricultural
targets, generated the same result of the analysis based on the
six bands. With the results, it is possible to infer that the
intraspecific spectrum-temporal variation is smaller than the
interspecific spectral-temporal variation, independently of the
management practices employed.",
committee = "Renn{\'o}, Camilo Daleles (presidente) and Sanches, Ieda Del'Arco
(orientadora) and Luiz, Alfredo Jos{\'e} Barreto (orientador) and
Ponzoni, Fl{\'a}vio Jorge and Aguiar, Daniel Alves de",
englishtitle = "Spectrum-temporal analysis of the crops of corn, soy and sugar
cane based on OLI/Landsat-8 sensor data",
language = "pt",
pages = "114",
ibi = "8JMKD3MGP3W34R/3QRM6DS",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/3QRM6DS",
targetfile = "publicacao.pdf",
urlaccessdate = "27 abr. 2024"
}