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A Cluster-Based Framework for Land Cover Classification and Change Detection

Objectives To develop an algorithm for unsupervised classification on a single variable (NDVI) which takes intra-annual variation into account. Using this algorithm produces thematic maps with as many informational classes as desired by the user.

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A Cluster-Based Framework for Land Cover Classification and Change Detection