Overview
- Discusses how to monitor malaria from operational polar-orbiting satellites
- Applies a new Vegetation Health (VH) methodology to assess indicators of malaria vector activity
- Provides VH technology to users for early assessments of malaria area, intensity and risk level
Part of the book series: Springer Remote Sensing/Photogrammetry (SPRINGERREMO)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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 userson 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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Remote Sensing for Malaria
Book Subtitle: Monitoring and Predicting Malaria from Operational Satellites
Authors: Felix Kogan
Series Title: Springer Remote Sensing/Photogrammetry
DOI: https://doi.org/10.1007/978-3-030-46020-4
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-46019-8Published: 21 July 2020
Softcover ISBN: 978-3-030-46022-8Published: 22 July 2021
eBook ISBN: 978-3-030-46020-4Published: 20 July 2020
Series ISSN: 2198-0721
Series E-ISSN: 2198-073X
Edition Number: 1
Number of Pages: XVI, 286
Number of Illustrations: 13 b/w illustrations, 76 illustrations in colour
Topics: Remote Sensing/Photogrammetry, Infectious Diseases, Climate Change, Medical Geography, Health Promotion and Disease Prevention, Sustainable Development