@InProceedings{DinizAlmeSala:2017:MoEsUs,
author = "Diniz, Mariana dos Santos and Almeida, Wagner Santos and Salazar,
Juan Pablo Catamuscay",
title = "Modelagem espacial de uso e ocupa{\c{c}}{\~a}o do solo
estabelecida mediante an{\'a}lise da vulnerabilidade ambiental",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "408--415",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The goal of this research is to analyze the environmental
vulnerability of the Municipality of Formosa (GO), between the
years of 1999 and 2014, and, for the most susceptibility area,
generate a prospective land use map using geoprocessing and
Cellular Automata (CA). For this purpose, digital maps of
pedology, roads and drainage networks, and terrain declivity map
(obtained from the digital elevation model SRTM/NASA) were used,
in addition to images captured by the Landsat 5 and 8 satellites.
The methodology applied consisted of three steps: a) first, land
use maps of the years 1999 and 2014 were created using
geoprocessing algorithms available in the Spring and ArcGIS/Erdas
software; b) second, environmental vulnerability maps were
generated using both Analytic Hierarchy Process and fuzzy logic;
and finally, c) third, a land use map for the year 2019 was
generated for the most anthropized and vulnerable area using the
software Dinamica EGO/UFMG, which employs CA. The maps showed a
considerable urban growth towards the northwest and southeast
directions, which is of great concern because of the proximity to
the main bodywater of the Municipality, the Lagoa Feia. These
results subsidize public policies for basic sanitation management,
urban and rural planning, sanitation, and mitigation measures to
reduce environmental impacts of uncontrolled anthropic growth.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60109",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS449F",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS449F",
targetfile = "60109.pdf",
type = "Modelagem espacial",
urlaccessdate = "12 maio 2024"
}