Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47350
Title: Automatic identification of shrub vegetation of the Teide National Park
Authors: Garcia-Pedrero, Angel
Rodriguez-Esparragon, Dionisio 
Ibarrola, Edurne
Lillo-Saavedra, Mario
Marcello, Javier 
Gonzalo-Martin, Consuelo 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Remote sensing
Image segmentation
Feature extraction
Vegetation mapping
Support vector machines
Sociology
Issue Date: 2015
Journal: IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings
Conference: 4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015 
Abstract: The identification of vegetation using remote sensing imagery is an important area of work with numerous applications such as the analysis of deforestation and crop monitoring. This work focuses on locating populations of an endemic shrub of the Canary Islands that grows in Teide National Park: the Teide broom. The objective is to determine automatically the location of this species in order to facilitate conservation efforts. For this purpose, a methodology is presented based on image analysis by using superpixels as the minimum image processing unit, combined with one-class classification. The proposed scheme has been analyzed by applying it to an area located at the northwest of the Teide National Park where the existence of populations of this shrub was known a priori.
URI: http://hdl.handle.net/10553/47350
ISBN: 9781479961740
DOI: 10.1109/IWOBI.2015.7160144
Source: IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings (7160144), p. 55-60
Appears in Collections:Actas de congresos
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