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Discriminating small wooded elements in rural landscape from aerial photography: a hybrid pixel/object-based analysis approach

Sheeren, David and Bastin, Gary N. and Ouin, Annie and Ladet, Sylvie and Balent, Gérard and Lacombe, Jean-Paul Discriminating small wooded elements in rural landscape from aerial photography: a hybrid pixel/object-based analysis approach. (2009) International Journal of Remote Sensing, vol. 30 (n° 19). pp. 4979-4990. ISSN 0143-1161

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Official URL: http://dx.doi.org/10.1080/01431160903022928

Abstract

While small, fragmented wooded elements do not represent a large surface area in agricultural landscape, their role in the sustainability of ecological processes is recognized widely. Unfortunately, landscape ecology studies suffer from the lack of methods for automatic detection of these elements. We propose a hybrid approach using both aerial photographs and ancillary data of coarser resolution to automatically discriminate small wooded elements. First, a spectral and textural analysis is performed to identify all the planted-tree areas in the digital photograph. Secondly, an object-orientated spatial analysis using the two data sources and including a multi-resolution segmentation is applied to distinguish between large and small woods, copses, hedgerows and scattered trees. The results show the usefulness of the hybrid approach and the prospects for future ecological applications.

Item Type:Article
Additional Information:Thanks to Taylor and Francis editor. The definitive version is available at http://www.tandfonline.com. The original PDF of the article can be found at International Journal of Remote Sensing website : http://www.tandfonline.com/doi/abs/10.1080/01431160903022928
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution: Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
French research institutions > Institut National de la Recherche Agronomique - INRA
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Deposited By:Annie OUIN

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