Real time deforestation detection using ANN and Satellite images : The Amazon Rainforest study case

Language: English

Published by Springer, 2015

331915740X / 9783319157405

Series: Book 178 of 322 - SpringerBriefs in Computer Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319157405

Title
Real time deforestation detection using ANN and Satellite images : The Amazon Rainforest study case
Author
Thiago Nunes Kehl
Publisher
Springer
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
331915740X
ISBN 13
9783319157405
Item weight
151 grams
Dimensions
235x155x5 mm
Series
Book 178 of 322: SpringerBriefs in Computer Science

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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