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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).

DOI: 10.1007/978-3-642-19789-5_3

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.

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

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