DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED

Abstract: This paper aimed to use the dasymetric mapping methods proposed by Mennis and Hultgreen (2006) and Strauch and Ajara (2015) to estimate the variation of the distribution in the population in the Jacarepaguá Watershed. For this, population data from the census tracts of 2010 and, as auxilia...

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Main Authors: Otto Marques dos Santos Neves, Julia Celia Mercedes Strauch, Cesar Ajara
Format: Article
Language:Portuguese
Published: Universidade Federal do Paraná
Series:Boletim de Ciências Geodésicas
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400606&lng=en&tlng=en
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spelling doaj-4cb2a94350d548ee85365df78a9e21d32020-11-24T21:32:07ZporUniversidade Federal do ParanáBoletim de Ciências Geodésicas1982-217023460662210.1590/s1982-21702017000400040S1982-21702017000400606DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHEDOtto Marques dos Santos NevesJulia Celia Mercedes StrauchCesar AjaraAbstract: This paper aimed to use the dasymetric mapping methods proposed by Mennis and Hultgreen (2006) and Strauch and Ajara (2015) to estimate the variation of the distribution in the population in the Jacarepaguá Watershed. For this, population data from the census tracts of 2010 and, as auxiliary data, the map of land use and land cover obtained from the supervised classification, were used - the auxiliary data were obtained using a maximum likelihood method with high resolution images. The method proposed by Mennis and Hultgreen (2006) preserved the pycnophylactic capacity of the dasymetric mapping; however, it resulted in a dasymetric map that distributes the population among the pixels, in accordance with the population variables, and in a more homogeneous way, since it considers only two classes of urban use and occupation. In the Strauch and Ajara (2015) method, there was a loss of 0.04% of the original population, but it emphasized the density differences, by distributing the population heterogeneously, because it allows the specialist to include other classes of land use and land cover and attribute different types of weights to these classes.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400606&lng=en&tlng=enMapeamento dasimétricoClassificação supervisionadaPlanejamento urbano
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Otto Marques dos Santos Neves
Julia Celia Mercedes Strauch
Cesar Ajara
spellingShingle Otto Marques dos Santos Neves
Julia Celia Mercedes Strauch
Cesar Ajara
DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
Boletim de Ciências Geodésicas
Mapeamento dasimétrico
Classificação supervisionada
Planejamento urbano
author_facet Otto Marques dos Santos Neves
Julia Celia Mercedes Strauch
Cesar Ajara
author_sort Otto Marques dos Santos Neves
title DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
title_short DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
title_full DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
title_fullStr DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
title_full_unstemmed DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
title_sort dasymetric methods applied to jacarepaguá watershed
publisher Universidade Federal do Paraná
series Boletim de Ciências Geodésicas
issn 1982-2170
description Abstract: This paper aimed to use the dasymetric mapping methods proposed by Mennis and Hultgreen (2006) and Strauch and Ajara (2015) to estimate the variation of the distribution in the population in the Jacarepaguá Watershed. For this, population data from the census tracts of 2010 and, as auxiliary data, the map of land use and land cover obtained from the supervised classification, were used - the auxiliary data were obtained using a maximum likelihood method with high resolution images. The method proposed by Mennis and Hultgreen (2006) preserved the pycnophylactic capacity of the dasymetric mapping; however, it resulted in a dasymetric map that distributes the population among the pixels, in accordance with the population variables, and in a more homogeneous way, since it considers only two classes of urban use and occupation. In the Strauch and Ajara (2015) method, there was a loss of 0.04% of the original population, but it emphasized the density differences, by distributing the population heterogeneously, because it allows the specialist to include other classes of land use and land cover and attribute different types of weights to these classes.
topic Mapeamento dasimétrico
Classificação supervisionada
Planejamento urbano
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400606&lng=en&tlng=en
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AT juliaceliamercedesstrauch dasymetricmethodsappliedtojacarepaguawatershed
AT cesarajara dasymetricmethodsappliedtojacarepaguawatershed
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