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Wetlands and Malaria in the Amazon: Guidelines for the Use of Synthetic Aperture Radar Remote-Sensing

Author

Listed:
  • Thibault Catry

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France)

  • Zhichao Li

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Emmanuel Roux

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France)

  • Vincent Herbreteau

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France
    ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), SEAS-OI, 97410 La Réunion, France)

  • Helen Gurgel

    (Department of Geography (GEA), University of Brasília (UnB), Brasília 70910-900, Brazil)

  • Morgan Mangeas

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 98848 Nouvelle-Calédonie, France)

  • Frédérique Seyler

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France)

  • Nadine Dessay

    (ESPACE-DEV, UMR 228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France)

Abstract

The prevention and control of mosquito-borne diseases, such as malaria, are important health issues in tropical areas. Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. Synthetic aperture radar (SAR) is well-adapted to tropical areas, since it is capable of imaging independent of light and weather conditions. In this study, we highlight the contribution of SAR sensors in the assessment of the relationship between vectors, malaria and the environment in the Amazon region. More specifically, we focus on the SAR-based characterization of potential breeding sites of mosquito larvae, such as man-made water collections and natural wetlands, providing guidelines for the use of SAR capabilities and techniques in order to optimize vector control and malaria surveillance. In light of these guidelines, we propose a framework for the production of spatialized indicators and malaria risk maps based on the combination of SAR, entomological and epidemiological data to support malaria risk prevention and control actions in the field.

Suggested Citation

  • Thibault Catry & Zhichao Li & Emmanuel Roux & Vincent Herbreteau & Helen Gurgel & Morgan Mangeas & Frédérique Seyler & Nadine Dessay, 2018. "Wetlands and Malaria in the Amazon: Guidelines for the Use of Synthetic Aperture Radar Remote-Sensing," IJERPH, MDPI, vol. 15(3), pages 1-27, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:468-:d:135213
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    References listed on IDEAS

    as
    1. Douglas E. Alsdorf & John M. Melack & Thomas Dunne & Leal A. K. Mertes & Laura L. Hess & Laurence C. Smith, 2000. "Interferometric radar measurements of water level changes on the Amazon flood plain," Nature, Nature, vol. 404(6774), pages 174-177, March.
    2. Sair Arboleda & Nicolas Jaramillo-O. & A. Townsend Peterson, 2009. "Mapping Environmental Dimensions of Dengue Fever Transmission Risk in the Aburrá Valley, Colombia," IJERPH, MDPI, vol. 6(12), pages 1-16, December.
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    Cited by:

    1. Zhichao Li & Helen Gurgel & Nadine Dessay & Luojia Hu & Lei Xu & Peng Gong, 2020. "Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation," IJERPH, MDPI, vol. 17(12), pages 1-29, June.

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