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Method for the Automated Generation of a Forest Non Forest Map with LANDSAT 8 Imagery by Using Artificial Neural Networks and the Identification of Pure Class Pixels

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Technology Trends (CITT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 895))

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Abstract

In this work, a methodology for the automated classification of Landsat 8 images from the integration of Artificial Neural Networks and the identification of pixels of pure classes is presented. The exercise carried out in this research by using the SEPAL platform, allowed to obtain a mosaic L8 of the study area, fully preprocessed and calibrated, and it was generated automatically in a short period of time. This result represents a significant advance in terms of preprocessing capacity that currently exists for the management of satellite data compared to the state of the area a decade ago. This relevant advance has been possible due to the use of artificial neural networks and the cross-correlation coefficient of the pixels of the Landsat 8 satellite platform images. Their use and differentiation of areas in remote sensing of wooded, agricultural and water areas are discussed.

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Author information

Authors and Affiliations

  1. Facultad de Ingeniería de Sistemas, Escuela Politécnica Nacional, Quito, Ecuador

    Juan-Carlos Tituana, Cindy-Pamela Lopez & Sang Guun Yoo

Authors
  1. Juan-Carlos Tituana
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  2. Cindy-Pamela Lopez
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  3. Sang Guun Yoo
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Corresponding author

Correspondence to Cindy-Pamela Lopez .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Computer Science, Politecnica Salesiana University, Cuenca, Ecuador

    Guillermo Pizarro

  3. Facultad de Ingenieria, University of Cuenca, Cuenca, Ecuador

    Miguel Zúñiga-Prieto

  4. Universidad Estatal de Milagro, San Francisco de Milagro, Ecuador

    Mayra D’Armas

  5. Universidad Técnica de Babahoyo, Babahoyo, Ecuador

    Miguel Zúñiga Sánchez

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Tituana, JC., Lopez, CP., Guun Yoo, S. (2019). Method for the Automated Generation of a Forest Non Forest Map with LANDSAT 8 Imagery by Using Artificial Neural Networks and the Identification of Pure Class Pixels. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds) Technology Trends. CITT 2018. Communications in Computer and Information Science, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-05532-5_41

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  • DOI: https://doi.org/10.1007/978-3-030-05532-5_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05531-8

  • Online ISBN: 978-3-030-05532-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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