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Mining sequential patterns from MODIS time Series for cultivated area mapping

Pitarch Y., Vintrou E., Badra F., Bégué A., Teisseire M.. 2011. In : Geertman Stan C.M. (ed.), Reinhardt Wolfgang P. (ed.), Toppen Fred J. (ed.). Advancing geoinformation science for a changing world. Heidelberg : Springer [Allemagne], p. 45-62. (Lecture notes in geoinformation and cartography).

To predict and respond to famine and other forms of food insecurity, different early warning systems are using remote analyses of crop condition and agricultural production, using satellite-based information. To improve these predictions, a reliable estimation of the cultivated area at national scale must be carried out. In this study, we developed a data mining methodology for extracting cultivated domain patterns based on their temporal behavior as captured in time-series of moderate resolution remote sensing MODIS images. (Résumé d'auteur)

Mots-clés : sécurité alimentaire; sol arable; utilisation des terres; terre cultivée; cartographie; modèle mathématique; télédétection; afrique au sud du sahara; mali

Thématique : Méthodes mathématiques et statistiques; Méthodes de relevé; Levée et cartographie des sols

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