Classification of Land Use and Occupancy with Emphasis on Urban Areas

Autores

  • Roberta Plangg Riegel Universidade Feevale, Programa de Pós Graduação em Qualidade Ambiental, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Darlan Daniel Alves Universidade Feevale, Programa de Pós Graduação em Qualidade Ambiental, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Leonardo Espindola Birlem Universidade Feevale, Instituto de Ciências Criativas e Tecnológicas, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Douglas Cristian Roque Universidade Feevale, Instituto de Ciências Criativas e Tecnológicas, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Guilherme Garcia de Oliveira Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Sensoriamento Remoto, Av. Bento Gonçalves, 9500 (prédio 44202) Porto Alegre, 90501-970 RS, Brasil
  • Claus Haetinger Universidade do Vale do Taquari – Univates, Programa de Pós-Graduação em Meio Ambiente e Desenvolvimento, Av. Avelino Tallini, 171, Lajeado, 95914-014 RS, Brasil
  • Daniela Montanari Migliavacca Osório Universidade Feevale, Programa de Pós Graduação em Qualidade Ambiental, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Marco Antônio Siqueira Rodrigues Universidade Feevale, Programa de Pós Graduação em Qualidade Ambiental, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil
  • Daniela Muller de Quevedo Universidade Feevale, Programa de Pós Graduação em Qualidade Ambiental, ERS 239, 2755, Novo Hamburgo, 93525-075 Rio Grande do Sul, RS, Brasil

DOI:

https://doi.org/10.11137/2019_3_377_386

Palavras-chave:

Classification of land use and occupancy, Validation, Photointerpretation, Urban planning

Resumo

Urbanization in Brazil occurred in a disorganized way and without observing criteria that could ensure the sustainability of this process, resulting in high population concentrations in large urban centers. In this way, it is recognized the need for an adequate planning that contemplates the economic and social interests and respects the environmental demands. Thus, the present work aims to map the land use and occupancy, with an emphasis in an urban area, having as a case study the municipality of Novo Hamburgo, RS. The methodology is established in two levels of detailing of classes, in which supervised classification and manual vectorization were used, seeking a more accurate specification of the urban areas. Validation was established through two databases: Google Earth and Remotely Piloted Aircraft System (RPAS), using the confusion matrix and the Kappa index. The results show the efficiency of the hybrid method for high-resolution images, besides highlighting the existing anthropogenic differences in urban areas. In relation to the use of different databases for validation, close values are also perceived between the two processes, with a Kappa index of 0.928 for data obtained from Google Earth and 0.943 for the RPAS.

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Publicado

2019-12-21

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