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E-book
Author Kehl, Thiago Nunes, author

Title Real time deforestation detection using ANN and satellite images : the Amazon Rainforest study case / Thiago Nunes Kehl, Viviane Todt, MaurĂ­cio Roberto Veronez, Silvio Cesar Cazella
Published Cham : Springer, 2015

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Description 1 online resource : illustrations (some color)
Series SpringerBriefs in computer science, 2191-5776
SpringerBriefs in computer science. 2191-5776
Contents 1 Introduction -- 2 Literature Review -- 3 Method -- 4 Results and Discussion -- 5 Conclusions and Future Work
Summary 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
Bibliography Includes bibliographical references and index
Notes English
Online resource; title from PDF title page (EBSCO, viewed May 1, 2015)
Subject Deforestation -- Amazon River Region -- Remote sensing
Artificial intelligence.
Geographical information systems (GIS) & remote sensing.
GARDENING -- Fruit.
TECHNOLOGY & ENGINEERING -- Agriculture -- General.
Deforestation -- Remote sensing
Amazon River Region
Form Electronic book
Author Todt, Viviane, author
Veronez, MaurĂ­cio Roberto, author
Cazella, Silvio Cesar, author
ISBN 9783319157412
3319157418
331915740X
9783319157405