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Open AccessArticle

Population Estimates from Orbital Data of Medium Spatial Resolution: Applications for a Brazilian Municipality

1
Departamento de Demografia e Ciências Atuariais (DDCA), Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
2
Department of Demography, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil
3
Asian Demographic Research Institute (ADRI), Shanghai University, Shanghai 200444, China
4
LiSS/CGOBT, Instituto Nacional de Pesquisas Espaciais, São José dos Campos 12227-010, Brazil
5
ICEX, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(9), 3565; https://doi.org/10.3390/su12093565
Received: 30 March 2020 / Revised: 17 April 2020 / Accepted: 18 April 2020 / Published: 27 April 2020
(This article belongs to the Special Issue Urban Growth and Demographic Dynamics)
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. View Full-Text
Keywords: remote sensing; dasymetric mapping; population estimates; small areas; Brazil; sustainable development remote sensing; dasymetric mapping; population estimates; small areas; Brazil; sustainable development
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Campos, J.; Rigotti, J.I.R.; Baptista, E.A.; Monteiro, A.M.V.; Reis, I.A. Population Estimates from Orbital Data of Medium Spatial Resolution: Applications for a Brazilian Municipality. Sustainability 2020, 12, 3565.

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