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A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level

1
CEFAGE-UE (Center for Advanced Studies in Management and Economics), Management Department, Universidade de Évora, N° 2, Apt. 95, 7002-554 Évora, Portugal
2
ICAAM (Institute of Mediterranean Agricultural and Environmental Sciences), Sciences and Technology Faculty, Universidade do Algarve, Gambelas Campus, Edf. 8, 8005-139 Faro, Portugal
3
Direção de Serviços de Estatística, GPP (Gabinete de Planeamento e Políticas), Praça do Comércio, 1149-010 Lisboa, Portugal
4
Direção Regional de Agricultura e Pescas do Algarve, Patacão, 8001-904 Faro, Portugal
*
Author to whom correspondence should be addressed.
Received: 13 March 2018 / Revised: 16 April 2018 / Accepted: 5 May 2018 / Published: 9 May 2018
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Abstract

Agricultural 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. View Full-Text
Keywords: data disaggregation; supervised classifications; classification algorithms; minimum cross-entropy; land uses; Algarve; empirical validation data disaggregation; supervised classifications; classification algorithms; minimum cross-entropy; land uses; Algarve; empirical validation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Xavier, A.; Fragoso, R.; de Belém Costa Freitas, M.; do Socorro Rosário, M.; Valente, F. A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level. Land 2018, 7, 62.

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