@Article{CamposRigBapMonRei:2020:ApBrMu,
author = "Campos, J{\'a}rvis and Rigotti, Jos{\'e} Irineu Rangel and
Baptista, Emerson Augusto and Monteiro, Ant{\^o}nio Miguel Vieira
and Reis, Ilka Afonso",
affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and
{Universidade Federal de Minas Gerais (UFMG)} and {Asian
Demographic Research Institute (ADRI)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal de Minas
Gerais (UFMG)}",
title = "Population estimates from orbital data of medium spatial
resolution: applications for a brazilian municipality",
journal = "Sustainability",
year = "2020",
volume = "12",
number = "9",
pages = "3565--3565",
keywords = "remote sensing, dasymetric mapping, population estimates, small
areas, Brazil, sustainable development.",
abstract = "In recent decades, there has been an increase in the search for
more detailed information on population dynamics, given the
growing demand for more sustainable economic, social, and
environmental planning. The dissemination of Geographic
Information Systems (GIS) has contributed to the development of
methodologies for the field of population estimates for small
areas. To support more sustainable policies, this study aims to
evaluate the capacity and contribution of the orbital images
(Landsat ETM+) for the production of post-census population
estimates for the municipality of Contagem, Minas Gerais, Brazil.
Firstly, models were built using the average of the reflectance of
the spectral bands of the Landsat 7 ETM+ for each special
intra-municipal unit, called the census sector, as explanatory
variables for the population density. Secondly, this study
constructed models that use the reflectance and the distributed
population at the level of the pixels of the images. All models
were tested through internal validation procedures, external
validation, and comparative analyses with post-census estimates.
Internal validation presented excellent results (below 7%), while
in external validation, the method at the level of the pixels
presented consistent results, below 1% relative error. These
results provide useful clues and can help policymakers in the
development of more sustainable and effective public policies,
insofar as population estimates are extremely important for the
planning of any society.",
doi = "10.3390/su12093565",
url = "http://dx.doi.org/10.3390/su12093565",
issn = "2071-1050",
label = "lattes: 0654596992211296 4 CamposRigBapMonRei:2020:ApBrMu",
language = "en",
targetfile = "sustainability-12-03565-v3.pdf",
urlaccessdate = "28 abr. 2024"
}