@Article{PaulaEscaOrti:2022:ExAgLa,
author = "Paula, Danielle Silva de and Escada, Maria Isabel Sobral and
Ortiz, Jussara de Oliveira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise Multitemporal do Uso e Cobertura da Terra na
Amaz{\^o}nia: A Expans{\~a}o da Agricultura de Larga Escala na
Bacia do Rio Curu{\'a}-Una",
journal = "Revista Brasileira de Cartografia",
year = "2022",
volume = "74",
number = "2",
pages = "399--417",
keywords = "Agricultura de Larga Escala. Agricultura de Pequena
Escala.Classifica{\c{c}}{\~a}o Orientada a Objeto.
Amaz{\^o}nia. arge Scale Agriculture. Small Scale Agriculture.
Object Oriented Classification.Amazonia.",
abstract = "A expans{\~a}o da soja tem gerado importantes mudan{\c{c}}asna
Amaz{\^o}nia brasileira devidoaprocessos de
concentra{\c{c}}{\~a}o de terras, homogeneiza{\c{c}}{\~a}o da
paisagem eao avan{\c{c}}o sobre outras formas de
produ{\c{c}}{\~a}o. No Par{\'a}, esse processo ocorre mais
intensamente nos munic{\'{\i}}pios de Santar{\'e}m, Belterra e
Moju{\'{\i}} dos Campos, que integram a bacia do rio
Curu{\'a}-Una. Esse estudo se prop{\~o}e a analisar
din{\^a}micas de uso e cobertura da terrapara o per{\'{\i}}odo
de 2000 a 2019 na bacia do Rio Curu{\'a}-Una, observando sobre
quais classes a Agricultura de Larga Escala (LSA) se expandiu. As
atuais bases de dados de uso e cobertura da terra da Amaz{\^o}nia
n{\~a}o contemplam a Agricultura de Pequena Escala (SSA). Para
incluir essaclasse, fez-se uso de imagens TM/OLI/Landsat,
t{\'e}cnicas de segmenta{\c{c}}{\~a}o
multirresolu{\c{c}}{\~a}o e classifica{\c{c}}{\~a}o orientada
{\`a} objeto.Para a an{\'a}lise das din{\^a}micas da LSA
utilizou-se matrizes de transi{\c{c}}{\~a}o para os
per{\'{\i}}odos de 2000-2010, 2010-2019 e 2000-2019.Como
resultado, observou-seum ganho de {\'a}rea da LSA no
per{\'{\i}}odo de 2000-2019, de 23 kmē para 1.093 kmē. O
per{\'{\i}}odo de 2000-2010 foi o que apresentou maior ganho
(25%). A expans{\~a}o da LSA se deu primordialmente sobre
{\'a}reas de Pastagens (38%), Vegeta{\c{c}}{\~a}o
Secund{\'a}ria (31%), Floresta (27%) e SSA (2%). Cerca de 25% da
{\'a}rea de SSA de 2000 foi convertida para LSA em 2019. Essa
propor{\c{c}}{\~a}o pode ser ainda maior, pois parte da
Vegeta{\c{c}}{\~a}o Secund{\'a}ria convertida para LSA,
comp{\~o}e o sistema de pousio da SSA. Esses resultados
refor{\c{c}}am a import{\^a}ncia de se estabelecer
pol{\'{\i}}ticas p{\'u}bicas que valorizem e fortale{\c{c}}am
a economia local. ABSTRACT: The soy expansion has generated
important changes in the Brazilian Amazon due to land
concentration processes, landscape homogenization and expansion
over other forms of production. In Par{\'a}, this process has
occurredmore intensely in the municipalities ofSantar{\'e}m,
Belterra and Moju{\'{\i}} dos Campos, which are part of the
Curu{\'a}-Una river basin. This study aims to analyze the
dynamics of land use and land cover for the period 2000 to 2019,
in the Curu{\'a}-Una River basin, observing which classes
Large-Scale Agriculture (AGLE) has expanded. The current land use
and land cover databases in the Amazon do not include Small-Scale
Agriculture (AGPE)class. To include this class in the mapping we
used TM/OLI/Landsat images with multi-resolution segmentation
techniques and object-oriented classification. For the analysis of
the AGLEdynamics, transition matrices for the periodsof2000-2010,
2010-2019 and 2000-2019 were built. As a result, we observedan
area gain for AGLE in the period 2000-2019, from 23 kmē to 1,093
kmē. The period of 2000-2010 was the one with the greatest gain
(25%). AGLE's expansion took place primarily over pasture (38%),
secondary vegetation (31%), forest (27%) and AGPE (2%). About 25%
of the AGPE area in 2000 wereconverted to AGPE in 2019.
Thatproportion may be even higher, as part of the secondary
vegetation converted to AGLE, is part ofthe AGPE fallow system.
The results reinforce the importance of establishing public
policies valuingand strengtheningthe local economy.",
doi = "10.14393/rbcv74n2-63206",
url = "http://dx.doi.org/10.14393/rbcv74n2-63206",
issn = "0560-4613 and 1808-0936",
label = "lattes: 1649941449641846 3 PaulaEscaOrti:2022:ExLaAg",
language = "pt",
targetfile = "document.pdf",
url = "https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/63206/33943",
urlaccessdate = "14 jun. 2024"
}