@MastersThesis{Moura:2000:ImMuTM,
author = "Moura, Valdir",
title = "Imagens multitemporais TM/Landsat-5 da {\'e}poca de
pr{\'e}-plantio na estimativa de {\'a}reas destinadas a cultura
de ver{\~a}o",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2000",
address = "Sao Jose dos Campos",
month = "2000-03-21",
keywords = "AGRONOMIA, ESTATISTICA AGRICOLA, CULTURA DE VERAO, USO DA TERRA,
SISTEMAS DE INFORMACAO GEOGRAFICA, SIG, MAPEADOR TEMATICO
(LANDSAT), LANDSAT 5, CROP INVENTORIES, LAND USE, THEMATIC MAPPERS
(LANDSAT), GEOGRAPHIC INFORMATION SYSTEMS.",
abstract = "A estimativa das Areas Destinadas a Culturas de Verao (ADCV)e das
Areas Plantadas por Cultura por Municipio (APPCM)estao entre as
principais variaveis envolvidas na previsao de safras usando
sensoriamento remoto. No Brasil, a obtencao destas informacoes e
feita de maneira indireta pelo Instituto Brasileiro de Geografia e
Estatistica (IBGE)e divulgadas atraves do Levantamento Sistematico
de Producao Agricola (LSPA). Devido a dificuldade em adquirir
imagens orbitais no verao, em funcao da grande cobertura de
nuvens, torna-se necessario trabalhar com dados obtidos nas epocas
de pre-plantio, quando se pretende realizar estatisticas agricolas
utilizando sensoriamento remoto. No presente trabalho, avaliou-se
a utilizacao de dados multitemporais do sensor TM/Landsat-5
obtidos nos meses de julho e setembro de 1998 (epoca de
pre-plantio)para a estimativa das ADCVS e APPCM em uma area do
Estado de Sao Paulo composta pelos municipios de Hortolandia,
Sumare, Nova Odessa, Americana, Santa Barbara d'Oeste, Rio das
Pedras, Iracemapolis e Piracicaba. Foram utilizadas tecnicas de
geoprocessamento e processamento digital de imagens para o
tratamento dos dados disponiveis. Utilizaram-se classificacoes
supervisionadas (MAXVER)e nao-supervisionadas (ISOSEG)para os
dados em numero digital, reflectancia e imagens NDVI
multitemporais, na tentativa de discriminar os talhoes de maior
probabilidade de serem cultivados com ADCVS e posteriormente
checadas no campo para a obtencao das APPCMS. A exatidao das
classificacoes foi avaliada atraves de um sistema de amostragem
desenvolvido para a regiao de estudo, e as estimativas de areas
foram corrigidas atraves da matriz de erro construida a partir
destas avaliacoes. As tecnicas de classificacao utilizadas
permitiram uma qualidade classificada como excelente segundo o
indice Kappa. Os resultados obtidos mostraram que a metodologia
aplicada nesta pesquisa e uma alternativa viavel para determinar
com precisao, em nivel municipal, as ADCVS e as APPCM. Porem,
houve diferencas significativas entre estes resultados e as
estimativas divulgadas pelas entidades oficiais. ABSTRACT: The
estimate of the Area of Land to be planted with annual crops and
its stratification by municipality are important variables in crop
forecast. Nowadays in Brazil, these information are obtained by
the Brazilian Institute of Geography and Statistics (IBGE)and
published under the report Assessment of the Agricultural
Production. Due to the high cloud cover in the main crop growing
season (October to March)it is difficult to acquire good orbital
images. Thus, one alternative is to work with remote sensing data
from dates before the crop growing season. This work presents the
use of multitemporal TM/Landsat-5 data gathered on July and
September of 1998 (before the summer growing season)in order to
estimate the area of land to be planted with summer crops in an
area of Sao Paulo State, Brazil. Geographic Information Systems
(GIS)and digital image processing techniques were applied for
treatment of the available data. Supervised and non-supervised
classifications were used for data in digital number and
reflectance formats and for the multitemporal Normalized
Difference Vegetation Index (NDVI)images. The objective was to
discriminate the tracts with higher probability to become planted
with summer crops. Classification accuracy's were evaluated using
a sampling system developed basically for this study region. The
estimated areas were corrected using the error matrix derived from
these evaluations. The classification techniques presented an
excellent level according to the kappa index. The proportion of
crops stratified by municipalities was derived by a field work
during the crop growing season. These proportion coefficients were
applied onto the area of land to be planted with summer crops
(derived from TM/Landsat-5 data). Thus, it was possible to derive
the area of each summer crop by municipality. The discrepancies
between official statistics and our results were attributed to the
sampling and to the stratification procedures. Nevertheless, this
methodology can be improved in order to provide good crop area
estimatives using remote sensing data, despite the cloud cover
during the growing season.",
committee = "Formaggio, Antonio Roberto (orientador/presidente) and Epiphanio,
Jos{\'e} Carlos Neves (orientador) and Novo, Evlyn M{\'a}rcia de
Moraes and Antunes, Mauro Antonio Homem and Rocha, Jansle Vieira
da",
englishtitle = "TM/Landsat-5 data from pre crop season to estimate the area to be
planted with summer crop",
label = "8839",
language = "pt",
pages = "122",
ibi = "6qtX3pFwXQZ4PKzA/o5LVN",
url = "http://urlib.net/rep/6qtX3pFwXQZ4PKzA/o5LVN",
targetfile = "publicacao.pdf",
urlaccessdate = "09 mar. 2021"
}