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Earth Data Analytics for Planetary Health

Overview of attention for book
Cover of 'Earth Data Analytics for Planetary Health'

Table of Contents

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    Book Overview
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    Chapter 1 Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health
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    Chapter 2 A Novel Evaluation of Air Pollution Impact from Stationary Emission Sources to Ambient Air Quality via Time-Series Granger Causality
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    Chapter 3 Groundwater Recharge, Monitoring and Finding Suitable Areas for Groundwater Recharge in Northeast Thailand
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    Chapter 4 Health Benefits of Air Pollution Reduction During the COVID-19 Lockdown Period in Thailand Using a Machine Learning Algorithm
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    Chapter 5 Satellite-Derived Vegetation Indices as a Criterion for Assessing Green Exposure that is Related to Human Health Burdens
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    Chapter 6 Five Common Myths About Land Use Change and Infectious Disease Emergence
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    Chapter 7 Geospatial Environmental Data for Planetary Health Applications
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    Chapter 8 Delineating Zones of Disease Diffusion from the Amenity-Sharing Network in Peninsular Malaysia
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    Chapter 9 Approaches for Spatial and Temporal-Spatial Clustering Analysis in Avian Influenza Outbreaks
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    Chapter 10 Detecting Urban form Using Remote Sensing: Spatiotemporal Research Gaps for Sustainable Environment and Human Health
Attention for Chapter 1: Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health
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Citations

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Chapter title
Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health
Chapter number 1
Book title
Earth Data Analytics for Planetary Health
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-19-8765-6_1
Book ISBNs
978-9-81-198764-9, 978-9-81-198765-6
Authors

Bridhikitti, Arika

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Unknown 3 75%
Readers by discipline Count As %
Earth and Planetary Sciences 1 25%
Unknown 3 75%

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