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Use of Remotely Sensed Climate and Environmental Information for Air Quality and Public Health Applications

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Earth Science Satellite Applications

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

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Abstract

Earth’s environment has direct and dramatic effects on its inhabitants in the realms of health and air quality. The climate, even in an unaltered state, poses great challenges but also presents great opportunity for the mankind to survive and flourish. Anthropogenic factors lead to even greater stress on the global ecosystem and to mankind, particularly with respect to air quality and the concomitant health issues. While the use of remote sensing technology to address issues is in its infancy, there is tremendous potential for using remote sensing as part of systems that monitor and forecast conditions that directly or indirectly affect health and air quality. This chapter discusses current status and future prospects in this field and presents three case studies showing the great value of remote sensing assets in distinct disciplines.

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Abbreviations

AQAST:

Air Quality Applied Sciences Team

AMSR-E:

Advanced Microwave Scanning Radiometer—Earth Observing System

CALIPSO:

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations

CDC:

Centers for Disease Control and Prevention

CHIRPS:

Climate Hazards Group InfraRed Precipitation with Station

CMAP:

Climate Prediction Center (CPC) Merged Analysis of Precipitation

CMORPH:

CPC MORPHing technique

DoD:

Department of Defense

ENACTS:

Enhancing National Climate Services

EO:

Earth Observation

EPA:

Environmental Protection Agency

EVI:

Enhanced Vegetation Index

GEO-CAPE:

Geostationary Coastal and Air Pollution Events

GHG:

Greenhouse Gasses

GPCP:

Global Precipitation Climatology Project

GIMMS:

Global Inventory Monitoring and Modeling Studies

GPM:

Global Precipitation Measurement

GRACE:

Gravity Recovery and Climate Experiment

GTS:

Global Telecommunication System

HAQ:

Health and Air Quality

HyspIRI:

Hyperspectral Infrared Imager

LST:

Land Surface Temperature

MODIS:

Moderate Resolution Imaging Spectroradiometer

MOPITT:

Measurement of Pollution in the Troposphere

NAAQS:

National Ambient Air Quality Standard

NDVI:

Normalized Difference Vegetation Index

NMS:

National Meteorological Service

NOAA:

National Oceanic and Atmospheric Administration

PACE:

Pre-Aerosol, Clouds, and ocean Ecosystems

PM2.5 :

Particulate Matter smaller than 2.5 microns in diameter

SeaWiFS:

Sea-Viewing Wide Field of View Sensor

SMAP:

Soil Moisture Active/Passive

SMOS:

Soil Moisture and Ocean Salinity

SWOT:

Surface Water and Ocean Topography

TEMPO:

Tropospheric Emissions: Monitoring of Pollution

TRMM:

Tropical Rainfall Measuring Mission

VCAP:

Vectorial CAPacity model

VL:

Visceral Leishmaniasis

VIIRS:

Visible Infrared Imager Radiometer Suite

VOC:

Volatile Organic Compounds

WHO:

World Health Organization

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Authors and Affiliations

  1. Universities Space Research Association, Marshall Space Flight Center, Huntsville, AL, USA

    William Crosson

  2. Civil and Environmental Engineering Department, University of Rhode Island, Kingston, RI, USA

    Ali Akanda

  3. International Research Institute for Climate and Society, The Earth Institute, Columbia University, New York, USA

    Pietro Ceccato, Tufa Dinku, Andrew Kruczkiewicz, Jerrod Lessel, Alexandra Sweeney & Madeleine C. Thomson

  4. University of Alabama in Huntsville, Huntsville, AL, USA

    Sue M. Estes

  5. National Aeronautics and Space Administration, Washington, DC, USA

    John A. Haynes

  6. Spatial Informatics Group, LLC, 3248 Northampton Ct., Pleasanton, CA, USA

    David Saah, Thomas Buchholz, Travis Freed, Jason Moghaddas, Tadashi Moody, Gary Roller & David Schmidt

  7. University of San Francisco, Geospatial Analysis Lab, 2130 Fulton Street, San Francisco, CA, USA

    David Saah

  8. Gund Institute for Ecological Economics, University of Vermont, 617 Main Street, Burlington, VT, USA

    Thomas Buchholz

  9. Placer County Air Pollution Control District, 110 Maple Street, Auburn, CA, USA

    Yu-Shuo Chang & Bruce Springsteen

  10. School of Environmental Sciences University of Liverpool, Liverpool, UK

    Stephen Connor

  11. Spatial Informatics Group—Natural Assets Laboratory (SIG-NAL), 11 Pond Shore Drive, Cumberland, ME, USA

    John Gunn

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  1. William Crosson
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  21. Madeleine C. Thomson
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Correspondence to William Crosson .

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  1. University of Washington, Seattle, Washington, USA

    Faisal Hossain

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Crosson, W. et al. (2016). Use of Remotely Sensed Climate and Environmental Information for Air Quality and Public Health Applications. In: Hossain, F. (eds) Earth Science Satellite Applications. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-319-33438-7_7

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