A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

Satellite remote sensing, with its unique synoptic coverage capabilities, can provide accurate and immediately valuable information on fire analysis and post-fire assessment, including estimation of burnt areas. In this study the potential for burnt area mapping of the combined use of Artificial Neu...

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Bibliographic Details
Main Authors: Marko Scholze, George Karantounias, Gavriil Xanthopoulos, Krishna Prasad Vadrevu, George P. Petropoulos
Format: Article
Language:English
Published: MDPI AG 2010-03-01
Series:Sensors
Subjects:
Landsat TM
burnt area mapping
Artificial Neural Networks
Spectral Angle Mapper
Greek forest fires 2007
Online Access:http://www.mdpi.com/1424-8220/10/3/1967/

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http://www.mdpi.com/1424-8220/10/3/1967/

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