| Description |
1 online resource |
| Series |
Springer Remote Sensing/Photogrammetry, 2198-0721 |
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Springer remote sensing/photogrammetry.
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| Contents |
Intro -- Foreword -- Acknowledgments -- Contents -- List of Abbreviations -- Chapter 1: Why This Book? -- 1.1 Malaria Incidents -- 1.2 Malaria Cost and Death Burden -- 1.3 Book Composition -- References -- Chapter 2: Malaria Burden -- 2.1 Introduction -- 2.2 Malaria and Human -- 2.2.1 Malaria Cause -- 2.2.2 Plasmodium and Mosquitoes -- 2.2.3 Malaria Cycle and Symptoms -- 2.2.4 Malaria Distribution -- 2.3 Malaria Burden -- 2.4 Roll Back Malaria -- 2.4.1 Indoor Residual Spraying -- 2.4.2 Larval Control and Other Vector Control Interventions -- 2.4.3 Malaria Prevention -- 2.5 Malaria Eradication |
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2.6 Malaria Challenges -- 2.7 Summary -- References -- Chapter 3: Environment in Relation to Parasite, Mosquitoes and Affected People -- 3.1 Specific Features of Parasite and Vector -- 3.2 Malaria, Ecosystems and Climate -- 3.3 Malaria and Weather -- 3.4 Satellites Data -- Solution for Malaria Monitoring and Prediction -- 3.5 Short summary -- References -- Chapter 4: NOAA Operational Environmental Satellites for Earth Monitoring -- 4.1 Introduction -- 4.2 NOAA Operational Polar-Orbiting Environmental Satellites (POES) -- 4.2.1 AVHRR Sensor -- 4.2.2 AVHRR Data for Vegetation Monitoring |
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4.2.3 Initial Algorithm for Data Collection -- 4.2.4 Normalized Difference Vegetation Index and Brightness Temperature -- 4.2.5 Removing Noise From NDVI and BT -- 4.2.6 VIIRS Data for Vegetation Monitoring -- 4.2.7 Continuity of NOAA/AVHRR, S-NPP/VIIRS and NOAA-20/VIIRS Data Records -- 4.3 Conclusion -- References -- Chapter 5: New Satellite-Based Vegetation Health Technology -- 5.1 Introduction -- 5.2 What Is Vegetation Health? -- 5.3 Theoretical Base of Vegetation Health Method -- 5.3.1 Biophysical Considerations -- 5.3.2 Basic Laws for Extracting Weather Component From NDVI and BT |
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5.4 Renewed Vegetation Health Algorithm -- 5.5 Vegetation Health at Work -- 5.6 Validation -- 5.7 Conclusion -- References -- Chapter 6: Modelling Malaria With Vegetation Health -- 6.1 Introduction -- 6.2 Modeling Principles -- 6.2.1 Malaria Multi-Year Time Series -- 6.2.2 Vegetation Health Indices Applied to Malaria -- 6.3 Malaria-Vegetation Health Models -- 6.3.1 Southeast Asia -- Bangladesh -- India -- 6.3.2 Africa -- 6.3.3 South America -- 6.4 Summary -- References -- Chapter 7: Early Warning Malaria Outbreaks Using ENSO Climate Forcing -- 7.1 Introduction -- 7.2 Basic ENSO Principles |
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7.3 ENSO Indices -- 7.4 Global Weather Pattern During ENSO From Climate Studies -- 7.5 Weather-Malaria Relationship During ENSO From Malaria Studies -- 7.6 Teleconnection Between Vegetation Health and ENSO -- 7.6.1 Data and Interpretation -- 7.6.2 Vegetation Health During Strong ENSO -- 7.6.3 Principle of VHI-SSTa Teleconnection -- 7.7 Conclusion -- References -- Chapter 8: 1981-2019 Vegetation Health Trends Assessing Malaria Conditions During Intensive Global Warming -- 8.1 Introduction -- 8.2 Earth Climate Warming and Consequences -- 8.3 Causes of Global Warming |
| Summary |
This book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas. With this in mind, this volume provides readers with: In-depth information in monitoring signs of malaria from operational polar-orbiting satellites Examples of country-specific models for predicting malaria area (1 and 4 km2 resolution) and intensity Information on the how the effects of climate change on malaria outbreak area and intensity can be monitored A new Vegetation Health (VH) methodology to estimate vegetation moisture, temperature and moisture/temperature conditions as indicators of malaria vector activity Advice to users on the application of VH technology for early assessments of malaria area, intensity and risk level Remote Sensing for Malaria is intended for an audience of public health practitioners, environmentalists, and students and researchers working in spatial epidemiology and disease prevention |
| Notes |
Includes index |
| Subject |
Malaria -- Remote sensing
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Climatic changes
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Health promotion
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Medical geography
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Remote sensing
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Sustainable development
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| Form |
Electronic book
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| ISBN |
9783030460204 |
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3030460207 |
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