Real time deforestation detection using ANN and Satellite images The
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
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Thiago Nunes Kehl Viviane Todt Maurício Roberto Veronez Silvio Cesar Cazella
Real time deforestation detection using ANN and Satellite images The Amazon Rainforest study case 123
SpringerBriefs in Computer Science
Series editor: Stan Zdonik Providence, USA Shashi Shekhar Minneapolis, USA Jonathan Katz Maryland, USA Xindong Wu Burlington, USA Lakhmi C. Jain Adelaide, South Australia, Australia David Padua Urbana, USA Xuemin (Sherman) Shen Waterloo, Canada Borko Furht Boca Raton, USA V.S. Subrahmanian College Park, Maryland, USA Martial Hebert Pittsburgh, Pennsylvania, USA Katsushi Ikeuchi Tokyo, Japan Bruno Siciliano Dipartimento di Informatica e Sistemistica Università di Napoli Federico II Napoli, Napoli, Italy Sushil Jajodia Fairfax, Virginia, USA Newton Lee Tujunga, California, USA
More information about this series at http://www.springer.com/series/10028
Thiago Nunes Kehl • Viviane Todt Maurício Roberto Veronez • Silvio Cesar Cazella
Real time deforestation detection using ANN and Satellite images The Amazon Rainforest study case
Thiago Nunes Kehl Vale do Rio dos Sinos University - UNISINOS São Leopoldo, Rio Grande do Sul, Brazil
Viviane Todt Vale do Rio dos Sinos University - UNISINOS São Leopoldo, Rio Grande do Sul, Brazil
Maurício Roberto Veronez Vale do Rio dos Sinos University Advanced Visualization Laboratory – VizLab/UNISINOS São Leopoldo, Rio Grande do Sul, Brazil
Silvio Cesar Cazella Federal University of Health Sciences of Porto Alegre (UFCSPA) Porto Alegre, Rio Grande do Sul, Brazil
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-3-319-15740-5 ISBN 978-3-319-15741-2 DOI 10.1007/978-3-319-15741-2
(eBook)
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