| Contributors to Volume 47 | v |
| Foreword | vii |
| Series Editors' Preface | ix |
| Guest Editors' Preface | xi |
| An Overview of Remote Sensing and Geodesy for Epidemiology and Public Health Application | |
| Abstract | 2 |
1. | Introduction | 2 |
2. | Active Remote Sensing | 4 |
3. | Passive Remote Sensing | 5 |
4. | Turning Satellite Sensor Data into Geophysical Data | 14 |
5. | Turning Geophysical Data into Information for Public Health | 18 |
6. | Geodesy | 25 |
7. | Conclusions | 27 |
| Acknowledgements | 27 |
| References | 27 |
| Linking Remote Sensing, Land Cover and Disease | |
| Abstract | 37 |
1. | Introduction | 38 |
2. | A Framework for the Remote Sensing of Disease | 39 |
3. | From Remotely Sensed Images of Landscape to a Multi-temporal Spectral Mosaic | 45 |
4. | From a Multi-temporal Spectral Mosaic to Land Cover | 51 |
5. | Predicting Vector Density and Disease Risk from Land Cover Data | 63 |
6. | Discussion and Conclusion | 71 |
| References | 72 |
| Spatial Statistics and Geographical Information Systems in Epidemiology and Public Health | |
| Abstract | 82 |
1. | Introduction | 82 |
2. | Disease Distribution Mapping | 88 |
3. | Spatial Patterns in Disease Distributions | 91 |
4. | Spatial Relationships and Causal Factors in Disease Distributions | 101 |
5. | Decision Support for Disease Intervention | 113 |
6. | Conclusions | 118 |
| Acknowledgements | 120 |
| References | 120 |
| Satellites, Space, Ti
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