Remote sensing for malaria : monitoring and predicting malaria from operational satellites /: monitoring and predicting malaria from operational satellites. (2020)
- Record Type:
- Book
- Title:
- Remote sensing for malaria : monitoring and predicting malaria from operational satellites /: monitoring and predicting malaria from operational satellites. (2020)
- Main Title:
- Remote sensing for malaria : monitoring and predicting malaria from operational satellites
- Further Information:
- Note: Felix Kogan.
- Other Names:
- Kogan, Felix
- 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 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 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 --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 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 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 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 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 … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 614.5/32
Malaria -- Remote sensing
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9783030460204
3030460207 - Related ISBNs:
- 3030460193
9783030460198 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.519779
- Ingest File:
- 03_110.xml