REMOTE SENSING FOR EPIDEMIOLOGY IN AFRICAN CITIES

Earth and Planetary Sciences

1. High Resolution 100%
2. Mathematical Model 100%
3. Region 83%
4. Information 70%
5. Rate 57%
6. Investigation 51%
7. Spatial Distribution 50%
8. Parasite 50%
9. Demographic Survey 50%
10. Cartography 50%
11. Climate 50%
12. Health Survey 50%
13. Squatter Settlement 47%
14. Land Cover 43%
15. Forest 43%
16. Data Base 43%
17. Urban Climate 37%
18. Socioeconomics 36%
19. Land Use 36%
20. Show 33%
21. Census 33%
22. Urban Population 30%
23. Vector 30%
24. Senegal 29%
25. Model 27%
26. Map 26%
27. Data Set 26%
28. Algorithms 23%
29. Set 21%
30. Area 20%
31. Urban Landscape 20%
32. Risk 20%
33. Exhibit 20%
34. Neighborhood 20%
35. Research 20%
36. Rapid 17%
37. Marshland 17%
38. Alternative 16%
39. Couple 16%
40. Stakeholder 16%
41. Allocation 16%
42. Decision Making 16%
43. Prediction 16%
44. Ecodevelopment 16%
45. Good 16%
46. Physical Exercise 16%
47. Approach 16%
48. Survey Design 16%
49. Sustainability 16%
50. Displacement 16%
51. Upscaling 16%
52. Goal 16%
53. Household 16%
54. Local Authority 16%
55. Uganda 12%
56. Satellite Imagery 12%
57. Urban Canopy 12%
58. Climate Modeling 12%
59. Remote Sensor 12%
60. Volume 10%
61. Coordinate 10%
62. List 10%
63. Breeding Site 10%
64. Building 10%
65. Variation 10%
66. Population Distribution 10%
67. Rural to Urban Migration 10%
68. Riparian Vegetation 10%
69. Africa 10%
70. Estimate 10%
71. Standard 10%
72. Urban Agriculture 10%
73. Fabric 10%
74. Shelter 10%
75. Age Groups 10%
76. Vegetation 10%
77. Remote Sensing 10%
78. Value 10%
79. Subsaharan Africa 10%
80. Datum 10%
81. Need 10%
82. Policy Making 10%
83. Tool 10%
84. Increasing 7%
85. Observation 7%
86. Rural Area 7%
87. Urban Land Use 7%
88. Classification 7%
89. Aggregate 7%
90. Size 7%
91. Residential Area 7%
92. Earth 7%
93. Urbanisation 7%
94. Gradient 7%
95. Selection 7%