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Assessment of priority areas for trypanosomiasis control actions by satellite data and fuzzy logic - Pilot study In Togo

Remote Sensing for Decision-Makers Series









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    Détermination des zones prioritaires pour la lutte contre la trypanosomiase au moyen de données satellite et de la logique floue - Étude pilote réalisée au Togo
    Série Télédétection pour décideurs
    2001
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    Cette série, produite par le Service de l’environnement et des ressources naturelles de la FAO s’adresse aux décideurs que sont les chefs de service et directeurs de division d’administrations nationales et internationales, les directeurs de projet, les planificateurs et les responsables d’organismes de développement. Elle a pour objet de présenter les diverses possibilités d’appliquer les nouvelles techniques de télédétection et d’utilisation de systèmes d’informations géographiques pour faciliter la planification et la gestion des ressources naturelles renouvelables dans les secteurs de l’agriculture, de la foresterie et des pêches. Le présent numéro est plus spécialement destiné aux décideurs chargés d’appliquer les mesures de lutte contre les maladies à transmission vectorielle, et d’assurer la gestion des parcours.
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    Mapping coastal aquaculture and fisheries structures by satellite imaging radar
    Case study of the Lingayen Gulf, the Philippines
    2004
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    Inventory and monitoring of coastal aquaculture and fisheries structures provide important baseline data for decision-making in planning and development, including regulatory laws, environmental protection and revenue collection. Mapping these structures can be performed with good accuracy and at regular intervals by satellite remote sensing, which allows observation of vast areas, often of difficult accessibility, at a fraction of the cost of traditional surveys. Satellite imaging r adar (SAR) data are unique for this task not only for their inherent all-weather capabilities, very important as aquaculture activities mainly occur in tropical and subtropical areas, but essentially because the backscatter from the structure components allows for their identification and separation from other features. The area selected and object of the study has been Lingayen Gulf, sited in Northwestern Luzon Island, the Philippines, where all these structures of interest occur. F ield verification of the methodology resulted in the following accuracy: fishponds 95 percent, fish pens 100 percent. Mapping accuracy for fish cages was estimated at 90 percent and for fish traps at 70 percent. The study is based on interpretation of SAR satellite data and a detailed image analysis procedure is described. The report aims at the necessary technology transfer for an operational use of the approach indicated in other similar environments.

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