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 by using satellite-based information. To improve these predictions, a reliable estimation of the cultivated area at a 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. © Springer-Verlag Berlin Heidelberg 2011.
CITATION STYLE
Pitarch, Y., Vintrou, E., Badra, F., Bégué, A., & Teisseire, M. (2011). Mining sequential patterns from MODIS time series for cultivated area mapping. In Lecture Notes in Geoinformation and Cartography (pp. 45–62). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-19789-5_3
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