MULTI-SENSOR DATA FUSION FOR IDENTIFYING MALARIA ENVIRONMENTAL FEATURES

Abstract : Malaria remains a persistent health problem in the cross-border area between French Guiana and Brazil. Various factors like environmental changes, population movements, etc. significantly influence the malaria transmission. In such context, optical and SAR data were used for producing a precise land cover map, including the resting and breeding sites of malaria vectors and human habitats. This study is a foundation for quantifying the degree of exposure of human populations to malaria vectors and thus for estimating and monitoring the malaria transmission risk.
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Communication dans un congrès
IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. IEEE, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 〈10.1109/IGARSS.2016.7729653〉
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https://hal.archives-ouvertes.fr/hal-01829725
Contributeur : Thibault Catry <>
Soumis le : mercredi 4 juillet 2018 - 11:54:02
Dernière modification le : mardi 19 mars 2019 - 01:24:03
Document(s) archivé(s) le : lundi 1 octobre 2018 - 14:14:57

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Zhichao Li, Thibault Catry, Nadine Dessay, Emmanuel Roux, Etienne Mahé, et al.. MULTI-SENSOR DATA FUSION FOR IDENTIFYING MALARIA ENVIRONMENTAL FEATURES. IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. IEEE, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 〈10.1109/IGARSS.2016.7729653〉. 〈hal-01829725〉

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