DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED
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, t...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Brasil |
| Institución: | Universidade Federal do Paraná (UFPR) |
| Repositorio: | Boletim de Ciências Geodésicas |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/56801 |
| Acceso en línea: | https://revistas.ufpr.br/bcg/article/view/56801 |
| Access Level: | acceso abierto |
| Palabra clave: | Dasymetric mapping Supervised classification Urban planning |
| Sumario: | 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 itallows 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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