@InProceedings{XaudAlmeXaud:2015:MoDiEs,
author = "Xaud, Maristela Ramalho and Almeida, Cl{\'a}udia Maria de and
Xaud, Haron Abrahim Magalh{\~a}es",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Modelagem din{\^a}mica espacial das mudan{\c{c}}as de cobertura
da terra na regi{\~a}o sul do Estado de Roraima, norte da
Amaz{\^o}nia",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6483--6490",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "In order to assess the annual rate of shallow cut deforestation in
the Brazilian Amazonia, INPE (Brazilian National Institute for
Space Research) uses PRODES (Project for the Satellite Monitoring
of the Brazilian Amazon Forest) system. PRODES database can be
accessed from INPE website, which enables further studies on
deforestation patterns in different subsets of such a
heterogeneous region. The present study focuses on simulating the
spatial dynamics of deforestation state of Roraima, in the far
north of the Brazilian Amazon, using PRODES database and a
cellular automata model within a time span of five years
(2000-2005). The cellular automaton (CA) platform DINAMICA EGO was
used in this study. It is driven by landscape maps from the
initial and final time of the simulation period and by spatial
variables (dynamic and/or static). The landscape maps contained
the following land cover classes: forest, non-forest,
deforestation, drainage, and background. The spatial variables
selected for the analysis were distance to roads, distance to
urban sites, and distance to deforested areas. The results
indicated that the transition forest to deforestation was more
strongly associated with the variables distance to deforestation
and distance to roads and presented though a weak relation with
distance to urban sites. The results shed light on the drivers of
land cover change processes in this region, mainly the conversion
from forest to deforested areas, indicating the minor role of
urban sites as compared to the decisive importance of roads and
previously deforested areas.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1407",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4HTD",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4HTD",
targetfile = "p1407.pdf",
type = "Modelagem espacial",
urlaccessdate = "27 abr. 2024"
}