@MastersThesis{Adami:2004:EsÁrAg,
author = "Adami, Marcos",
title = "Estimativa de {\'a}reas agr{\'{\i}}colas por meio de
t{\'e}cnica de sensoriamento remoto, geoprocessamento e
amostragem",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2004",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2003-06-25",
keywords = "sensoriamento remoto, geoprocessamento, amostragem, caf{\'e},
milho, soja, Santa Catarina, remote sensing, geoprocessing,
sampling, coffee, corn, soybeans, Paran{\'a} (PR).",
abstract = "Estimativas eficientes de safras agr{\'{\i}}colas exigem
m{\'e}todos r{\'a}pidos e pr{\'a}ticos para a sua
realiza{\c{c}}{\~a}o. Neste contexto, {\'e} importante o uso do
computador para acelerar os processos envolvidos durante as
estimativas. Assim, o presente trabalho vem contribuir com a
automatiza{\c{c}}{\~a}o dos procedimentos de
estratifica{\c{c}}{\~a}o e aloca{\c{c}}{\~a}o de amostras para
estimativa de {\'a}rea cultivada, tendo como base o procedimento
de amostragem de {\'a}rea. O objetivo principal desta pesquisa
foi estimar a {\'a}rea cultivada com as culturas de caf{\'e},
milho e soja, por meio de imagens de sat{\'e}lites, t{\'e}cnicas
de geoprocessamento e amostragem probabil{\'{\i}}sticas de
{\'a}rea, no munic{\'{\i}}pio de Corn{\'e}lio Proc{\'o}pio e
no N{\'u}cleo Regional, composto por 23 munic{\'{\i}}pios. Para
a realiza{\c{c}}{\~a}o deste trabalho, mapeou-se o uso e a
ocupa{\c{c}}{\~a}o do solo, estratificou-se a {\'a}rea de
estudo em fun{\c{c}}{\~a}o do n{\'{\i}}vel de
utiliza{\c{c}}{\~a}o do solo para a agricultura, utilizou-se a
amostragem aleat{\'o}ria estratificada para a
aloca{\c{c}}{\~a}o das amostras, realizou-se trabalho de campo
para coleta da {\'a}rea cultivada e expandiram-se os dados
utilizando a expans{\~a}o direta e a regress{\~a}o. Os
resultados deste trabalho demonstram que atrav{\'e}s do
aplicativo SPRING foi poss{\'{\i}}vel realizar todos
osprocedimentos de constru{\c{c}}{\~a}o do painel de amostra,
isto {\'e}, estratifica{\c{c}}{\~a}o, c{\'a}lculo de {\'a}rea
e aloca{\c{c}}{\~a}o de amostra. Foi poss{\'{\i}}vel
tamb{\'e}m utilizar imagens Landsat-7/ETM+ como base para alocar
o segmento para a coleta de dados no campo, desde que auxiliada
com o Sistema de Posicionamento Global (GPS). Al{\'e}m disso, a
pesquisa possibilitou estimar a {\'a}rea dessas culturas em
escala regional e municipal por meio de amostragem de {\'a}rea,
dentro de uma confiabilidade aceit{\'a}vel e com resultados
objetivos. Ainda como resultado, apresenta o custo vari{\'a}vel
da pesquisa para a regi{\~a}o e faz-se uma estimativa do custo
para a expans{\~a}o da metodologia para o estado do Paran{\'a}.
ABSTRACT: Efficient estimates of agricultural production require
practical and rapid methods for its accomplishment. In this
context, the use of computer to speed up the involved processes
during the estimates is important. Thus, the present work comes to
contribute with the automation of the procedures for
stratification and allocation of samples to estimate the
cultivated area, having the area sampling procedure as base. The
main objective of this research was to estimate the cultivated
area with coffee, maize and soybean crops, using satellite images,
geoprocessing techniques and probabilistic area sampling, in the
municipality of Corn{\'e}lio Proc{\'o}pio and in the Regional
Nucleus composed by 23 municipalities. For the accomplishment of
this work, it was mapped land use and land occupation, it was
stratified the study area based on land use level for agriculture,
it was used the random stratified sampling for the allocation of
the samples, it was accomplished the field work to collect
information about the cultivated area, and the data was expanded
utilizing the direct expansion and regression. The results of this
work demonstrate that through the SPRING software package it was
possible to perform all the procedures for constructing the sample
panel, that is, stratification, area calculation, and sample
allocation. It was also possible to use Landsat-7/ETM+ images as
support to allocate the segment for collecting data on the field,
since that it assisted with the Global Positioning System (GPS).
Moreover, this research made possible to estimate the area of
these crops in a regional and municipal scale by using area
sampling, within of an acceptable reliability and with objective
results. Still as result, it presents the changeable cost of the
research for the region and it makes an estimate of the cost for
the expansion of the methodology for the Paran{\'a} State.",
committee = "Rudorff, Bernardo Friedrich Theodor (presidente) and Moreira,
Maur{\'{\i}}cio Alves (orientador) and Freitas, Corina da Costa
and Paiva, Jo{\~a}o Argemiro de Carvalho and Faria, Rog{\'e}rio
Teixeira de",
copyholder = "SID/SCD",
englishtitle = "Crop area estimation using remote sensing, geoprocessing and
sample techniques",
language = "pt",
pages = "183",
ibi = "6qtX3pFwXQZ3P8SECKy/z4kkk",
url = "http://urlib.net/ibi/6qtX3pFwXQZ3P8SECKy/z4kkk",
targetfile = "publicacao.pdf",
urlaccessdate = "2024, May 02"
}