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Ferreira da Silva da Costa Freitas, Maria de Belém
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- A minimum cross entropy approach to disaggregate agricultural data at the field levelPublication . Xavier, Antonio; Fragoso, Rui; Costa Freitas, M. B.; Rosario, Maria do Socorro; Valente, FlorentinoAgricultural policies have impacts on land use, the economy, and the environment and their analysis requires disaggregated data at the local level with geographical references. Thus, this study proposes a model for disaggregating agricultural data, which develops a supervised classification of satellite images by using a survey and empirical knowledge. To ensure the consistency with multiple sources of information, a minimum cross-entropy process was used. The proposed model was applied using two supervised classification algorithms and a more informative set of biophysical information. The results were validated and analyzed by considering various sources of information, showing that an entropy approach combined with supervised classifications may provide a reliable data disaggregation.