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

被引:18
|
作者
Catry, Thibault [1 ]
Li, Zhichao [2 ]
Roux, Emmanuel [1 ]
Herbreteau, Vincent [1 ,3 ]
Gurgel, Helen [4 ]
Mangeas, Morgan [5 ]
Seyler, Frederique [1 ]
Dessay, Nadine [1 ]
机构
[1] IRD, ESPACE DEV, UMR IRD UM UR UG UA 228, F-34093 Montpellier, France
[2] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[3] SEAS OI, IRD, ESPACE DEV, UMR IRD UM UR UG UA 228, F-97410 Paris, Reunion, France
[4] Univ Brasilia UnB, Dept Geog GEA, BR-70910900 Brasilia, DF, Brazil
[5] IRD, ESPACE DEV, UMR IRD UM UR UG UA 228, F-98848 New Caledonia, France
关键词
wetlands; mosquito breeding sites; malaria; Amazon; SAR; remote sensing; ANOPHELES-DARLINGI DIPTERA; CULICIDAE LARVAL HABITATS; VECTOR-BORNE DISEASES; WATER-LEVEL CHANGES; L-BAND; FORESTED WETLANDS; BREEDING HABITATS; CLASSIFICATION; EPIDEMIOLOGY; CLIMATE;
D O I
10.3390/ijerph15030468
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:27
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