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NASA Air Quality Remote Sensing Training

Triangle Park, Raleigh-Durham, NC
Date Range: 
Monday, September 29, 2014 to Wednesday, October 1, 2014

This workshop covered:

  • The types of satellite products available for air quality analysis
  • Satellite aerosol and trace gas products
  • Online tools for accessing and exploring satellite data
  • Applying satellite data to emissions inventories and photochemical model evaluation
Course Objective: 

Attendees learned how to apply NASA resources to decision making activities as they relate to air quality forecasting and smoke, fire, and PM2.5 monitoring. 

Course Format: 
  • Three day, in-person workshop

No previous remote sensing experience is required.

Session One: Introduction, Overview and First Exposure to Satellite Air Quality Measurements

Introduction and Logistics

Application of Satellite Observations in Air Quality Monitoring: An Overview

Aerosol Observations from Satellites: Brief Theory and Existing Products

Exploring and Ordering Aerosol Data Sets: Online Tools

Session Two: Exploring MODIS Level 2 Aerosol Data Sets

Evaluation of Aerosol Products Using the Aerostat/MAPPS Tool: Learning More on MODIS 3km, 10km Level 2 Data Sets, Limitations and Uncertainties

Hands-on MODIS 3km and 10km Data Sets Using HDFLook: Looking Inside Level 2 Aerosol Data Files

Future Satellite Capabilities for Air Quality Application

Session Three: Estimation of Ground Level PM2.5 Concentrations with Satellite Data

Applications of Satellite Aerosol Data for Particulate Matter Air Quality: Theoretical Background, Advantages and Limitations

Online Tool: IDEA

Resolving the Vertical Resolution of Aerosols: LIDAR and CALIPSO (Satellite, Data and Applications)

RSIG Tool to Get MODIS Data on Model Grid

Session Four: Trace Gas Products and Inter-Comparison with Models

Satellite Trace Gas Products, NO2, SO2, Ozone and Others: Advantages, Limitations and Potential Applications

Exploring Trace Gas Data Sets Using Online Tools: Ordering, Details and Giovanni

WHIPS Tool for Grating Satellite Data (OMI, MODIS) on Model Grids on Various Spatial and Temporal Scales

Air Quality Case Study Orientation & Grouping


Application Area: 
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