Temporal analysis (2002-2014) of the expansion of fern species dicranopteris flexuosa in Pati Valley (Brazil) using satellite images classification techniques

Authors

  • Cândida Caroline Souza de Santana Leite Universidade Estadual de Feira de Santana
  • Sarah Moura Batista dos Santos Universidade Estadual de Feira de Santanal
  • Washington de Jesus Sant’anna da Franca Universidade Estadual de Feira de Santana
  • Rodrigo Nogueira Vasconcelos Universidade Estadual de Feira de Santa

DOI:

https://doi.org/10.14195/1647-7723_24_10

Keywords:

Neural networks, maximum likelihood, geotechnology, invasive species

Abstract

In order to analyze the areas occupied by the invasive fern species Dicranopteris flexuosa between 2002 and 2014 in the Pati Valley (Brazil) multispectral satellite image classification techniques were used from the supervised classification algorithms Neural Networks and Maximum Likelihood. The results show that the species tends to spread rapidly, blocking the regeneration of native flora. The algorithm with the highest reliability for this was the Neural Networks.

 

https://doi.org/10.14195/1647-7723_24_10

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Published

2017-03-30

Issue

No. 24 (2017): Multidisciplinaridade na análise das manifestações de risco

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.