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

Author

Listed:
  • António Xavier

    (CEFAGE-UE (Center for Advanced Studies in Management and Economics), Management Department, Universidade de Évora, N° 2, Apt. 95, 7002-554 Évora, Portugal)

  • Rui Fragoso

    (CEFAGE-UE (Center for Advanced Studies in Management and Economics), Management Department, Universidade de Évora, N° 2, Apt. 95, 7002-554 Évora, Portugal)

  • Maria De Belém Costa Freitas

    (ICAAM (Institute of Mediterranean Agricultural and Environmental Sciences), Sciences and Technology Faculty, Universidade do Algarve, Gambelas Campus, Edf. 8, 8005-139 Faro, Portugal)

  • Maria Do Socorro Rosário

    (Direção de Serviços de Estatística, GPP (Gabinete de Planeamento e Políticas), Praça do Comércio, 1149-010 Lisboa, Portugal)

  • Florentino Valente

    (Direção Regional de Agricultura e Pescas do Algarve, Patacão, 8001-904 Faro, Portugal)

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.

Suggested Citation

  • António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.
    • Handle: RePEc:gam:jlands:v:7:y:2018:i:2:p:62-:d:145362
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    References listed on IDEAS

    as
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