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Title: A rule- based system for burned area mapping in temperature and tropical regions using NOAA/AVHRR imagery
Authors: Pereira, José
Vasconcelos, Maria
Sousa, Adélia
Editors: Innes, John
Beniston, Martin
Verstraete, Michel
Keywords: CART
Burned area
satellite image
Issue Date: 2000
Publisher: Springer
Citation: Pereira, J. M. C., Vasconcelos, M. J. e Sousa, A. M. O. (2000). A rule-based system for burned area mapping in temperature and tropical regions using NOAA/AVHRR imagery. In Biomass Burning and its Inter-Relationships with the Climate System, pp.215-232. John L. Innes, Martin Beniston and Michel M. Verstraete, Ed. Kluwer Academic Publishers, Netherlands. DOI: 10.1007/0-306-47959-1_12
Abstract: The feasibility of derived a single classifier capable of mapping burned areas in Iberia and Central Africa, using NOAA/AVHRR satellite imagery was investigated. A supervised classification approach based on the Classification an Regression Trees (CART) algorithm was used to classify a single date image from Africa and a multi-temporal composite from Iberia into three classes: burned, unburned, and cloud. A classification tree with 22 terminal nodes constructed was constructed with CART, using albedo, GEMI, and channel 4 brightness temperature as independent variables. The accuracy of this classifier was assessed on a set of independent data and found to be higher than 98% for each class. All burned area pixels in the test data set were correctly classified. Visual comparison with high resolution data in the casa of Iberia, and with active fire data in the case of Africa, confirm this good performance. Advantageous characteristics of rule induction approaches for the classification of satellite imagery are discussed from the perspective of deriving a system for global area mapping.
Type: bookPart
Appears in Collections:MED - Publicações - Capítulos de Livros
ERU - Publicações - Capítulos de Livros

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