@MastersThesis{Pinto:1983:UtTéSe,
author = "Pinto, S{\'e}rgio dos Anjos Ferreira",
title = "Utiliza{\c{c}}{\~a}o de t{\'e}cnicas de sensoriamento remoto
para a caracteriza{\c{c}}{\~a}o de eros{\~a}o do solo no SW do
Estado de S{\~a}o Paulo",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "1983",
address = "Sao Jose dos Campos",
month = "1982-09-29",
keywords = "estudos integrados do meio ambiente, Bacia Ribeir{\~a}o Anhumas
(SP) S{\~a}o Paulo (Estado), eros{\~a}o, solos, topografia,
vegeta{\c{c}}{\~a}o, Landsat-2, sat{\'e}lites Landsat,
fotografia a{\'e}rea, fotointerpreta{\c{c}}{\~a}o, uso do solo,
vegeta{\c{c}}{\~a}o, sistemas multiespectrais de varredura,
imagens Landsat, sat{\'e}lite Landsat, geology, soil erosion,
aerial photography, vegetation, land use, multispectral band
scanners.",
abstract = "Este trabalho teve como objetivo desenvolver uma metodologia de
utiliza{\c{c}}{\~a}o de t{\'e}cnicas de sensoriamento remoto
para a caracteriza{\c{c}}{\~a}o da eros{\~a}o do solo,
considerando os fatores topogr{\'a}ficos e antr{\'o}pico.
Selecionou-se como {\'a}rea de estudo a bacia do Ribeir{\~a}o
Anhumas, na regi{\~a}o SW do Estado de S{\~a}o Paulo, que vem
sendo submetida a processos de eros{\~a}o do solo, atrav{\'e}s
de ravinamentos. Neste trabalho foram utilizadas fotografias
a{\'e}reas pancrom{\'a}ticas, cartas topogr{\'a}ficas e fitas
compat{\'{\i}}veis com computador (CCTs) do LANDSAT-2.
Atrav{\'e}s de amostragem rand{\^o}mica em quadr{\'{\i}}culas
de 1 km x 1 km foram extra{\'{\i}}das das fotografias
a{\'e}reas a frequ{\^e}ncia de ravinas, o tipo de cobertura
vegetal/uso da terra e as formas de vertentes; foram calculados
das cartas topogr{\'a}ficas a declividade m{\'e}dia, a densidade
hidrogr{\'a}fica e a extens{\~a}o de vertentes. Durante os
trabalhos de campo foram obtidos dados sobre a raz{\~a}o entre
porcentagem de areia fina e areia grossa e densidade de cobertura
vegetal. Os dados contidos em CCTs foram analisados utilizando os
algoritmos {"}Single-Cell{"}, {"}Cluster Synthesis{"} e
{"}Slicer{"}, implementados no sistema Image 100. As an{\'a}lises
gr{\'a}ficas e estat{\'{\i}}sticas demonstraram que a
declividade e a varia{\c{c}}{\~a}o de cobertura vegetal/uso
s{\~a}o os fatores mais significativos ao condicionamento da
eros{\~a}o do solo. A an{\'a}lise digital das CCts/LANDSAT,
referentes ao canal 5, permitiu o estabelecimento de
associa{\c{c}}{\~o}es entre classes de n{\'{\i}}veis de cinza
e de cobertura vegetal, sendo poss{\'{\i}}vel definir sete
classes para a {\'a}rea de estudo. As classes de n{\'{\i}}veis
de cinza e de declividades foram utilizadas para compor uma escala
de riscos {\`a} eros{\~a}o. ABSTRAT: The objective of this study
was to develop a methodology of application of remote sensing
techniques to characterize soil erosion, considering topographic
features and human influences. The area under study was the
Ribeir{\~a}o Anhumas drainage basin, SW of S{\~a}o Paulo State
(Brazil) which is undergoing rill and gullying erosion processes.
The following materials were used: panchromatic aerial
photographies; topographic maps and computer compatible tapes
(CCTs) from MSS-LANDSAT-2 data. Within randomly sampled squares of
a 1 km x 1 km grid, rill/gullies frequency, land cover/land use
type and shape of the slopes were extracted from the aerial
photographies; mean slope gradient, stream frequency and slope
length were calculated on the topographic maps. During field work
data on fine sand/coarse sand ratio and vegetation cover densities
were obtained. The MSS-LANDSAT-2 data (CCTs) were analyzed using
the folowing algorithms: Single-Cell, Cluster Synthesis and
Slicer, implemented at the Image 100 system. The graphical and
statistical analysis of the data indicated that different slope
gradients and land cover/land use types are the most significant
factors related to the soil erosion process. The digital analysis
of MSS/5 LANDSAT-2 data (CCTs) allowed the association among gray
level classes and vegetation cover classes, which defined seven
classes in the study area. These gray level classes and slope
gradient classes were used in order to establish an erosion risk
ranking.",
committee = "Kux, Hermann Johann Heinrich (presidente) and Queiroz Neto,
Jos{\'e} Pereira de (orientador) and Amaral, Gilberto
(orientador) and Lombardi Neto, Francisco and Tardin, Antonio
Tebaldi",
copyholder = "SID/SCD",
englishtitle = "Remote sensing techniques used to characterize soil erosion in
southwestern Sao Paulo state",
label = "22",
language = "pt",
pages = "122",
ibi = "6qtX3pFwXQZ3r59YD6/GNoaU",
url = "http://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GNoaU",
targetfile = "publicacao.pdf",
urlaccessdate = "28 abr. 2024"
}