Applying gully risk in the Fernão Dias environmental protection area, southeastern brazil, using FUZZY logic decision

Authors

  • Marcos César Ferreira
  • Danilo Trovó Garófalo
  • Marta Marujo Ferreira

DOI:

https://doi.org/10.14195/1647-7723_22_5

Keywords:

Fuzzy classification, GIS, risk map, gullies, logistic regression.

Abstract

A spatial model is presented using logistic regression, fuzzy classification and GIS, to map the risk to the ravine. This model uses the maps: vegetation index, slope, and structural lineaments and roads density maps. The chance in favour of a gully event for these maps was estimated using odds ratio. The model calculates the risk of gully in each pixel, from the weighted sum of fuzzy maps, and uses r2 value obtained by frequency ravine points observed in each class of thematic maps as weight values.

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Published

2015-08-23

Issue

No. 22 (2015): Risks. Convergence Territories

Section

Articles

License

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows sharing the work with recognition of authorship and initial publication in Antropologia Portuguesa journal.