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200810 ||| eng |
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|a 9783030460204
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|a Kogan, Felix
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| 245 |
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|a Remote Sensing for Malaria
|h Elektronische Ressource
|b Monitoring and Predicting Malaria from Operational Satellites
|c by Felix Kogan
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| 250 |
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|a 1st ed. 2020
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a XVI, 286 p. 89 illus., 76 illus. in color
|b online resource
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| 653 |
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|a Medicine, Preventive
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| 653 |
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|a Integrated Geography
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| 653 |
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|a Diseases
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| 653 |
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|a Geographical Information System
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| 653 |
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|a Environment
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| 653 |
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|a Health Promotion and Disease Prevention
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| 653 |
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|a Environmental Sciences
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| 653 |
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|a Environmental geography
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| 653 |
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|a Sustainability
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| 653 |
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|a Geographic information systems
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| 653 |
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|a Health promotion
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Springer Remote Sensing/Photogrammetry
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| 028 |
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|a 10.1007/978-3-030-46020-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-46020-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 910.285
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| 520 |
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|a 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 theapplication 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
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