DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED

Authors

  • Otto Marques dos Santos Neves Instituto Brasileiro de Geografia e Estatística
  • Julia Celia Mercedes Strauch Escola Nacional de Ciências Estatísticas Universidade do Estado do Rio de Janeiro
  • Cesar Ajara Escola Nacional de Ciências Estatísticas

Keywords:

Dasymetric mapping, Supervised classification, Urban planning

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.

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Published

2017-12-08

How to Cite

Neves, O. M. dos S., Strauch, J. C. M., & Ajara, C. (2017). DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED. Bulletin of Geodetic Sciences, 23(4). Retrieved from https://revistas.ufpr.br/bcg/article/view/56801

Issue

Vol. 23 No. 4 (2017)

Section

Article

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