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SpringerBriefs in Computer Science

Real time deforestation detection using ANN and Satellite images

The Amazon Rainforest study case

Authors: Kehl, T., Todt, V., Veronez, M., Cazella, S.

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  • Development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks
  • Tool provides parameterization of the configuration for the neural network training to select the best neural architecture to address the problem
  • The tool uses confusion matrices to determine the degree of success of the network
  • A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network
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About this book

The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-15741-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-15740-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Real time deforestation detection using ANN and Satellite images
Book Subtitle
The Amazon Rainforest study case
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-15741-2
DOI
10.1007/978-3-319-15741-2
Softcover ISBN
978-3-319-15740-5
Series ISSN
2191-5768
Edition Number
1
Number of Pages
X, 67
Number of Illustrations
4 b/w illustrations, 21 illustrations in colour
Topics

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