- freely available
- re-usable
Remote Sens. 2012, 4(2), 424-438; doi:10.3390/rs4020424
Article
Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis
Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, P.O. Box 248, GR 54124 Thessaloniki, Greece
* Author to whom correspondence should be addressed.
Received: 6 December 2011; in revised form: 17 January 2012 / Accepted: 21 January 2012 / Published: 3 February 2012
(This article belongs to the Special Issue Advances in Remote Sensing of Wildland Fires)
Abstract: The devastating series of fire events that occurred during the summers of 2007 and 2009 in Greece made evident the need for an operational mechanism to map burned areas in an accurate and timely fashion to be developed. In this work, Système pour l’Observation de la Terre (SPOT)-4 HRVIR images are introduced in an object-based classification environment in order to develop a classification procedure for burned area mapping. The development of the procedure was based on two images and then tested for its transferability to other burned areas. Results from the SPOT-4 HRVIR burned area mapping showed very high classification accuracies ( 0.86 kappa coefficient), while the object-based classification procedure that was developed proved to be transferable when applied to other study areas.
Keywords: burned area mapping; SPOT-4 HRVIR; object-based image analysis (OBIA)
Article Statistics
Click here to load and display the download statistics.Cite This Article
MDPI and ACS Style
Polychronaki, A.; Gitas, I.Z. Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis. Remote Sens. 2012, 4, 424-438.
AMA StylePolychronaki A, Gitas IZ. Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis. Remote Sensing. 2012; 4(2):424-438.
Chicago/Turabian StylePolychronaki, Anastasia; Gitas, Ioannis Z. 2012. "Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis." Remote Sens. 4, no. 2: 424-438.
Remote Sens.
EISSN 2072-4292
Published by MDPI AG, Basel, Switzerland
RSS
E-Mail Table of Contents Alert
