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Description

Nitrogen dioxide (NO2) is unhealthy to breathe and is a necessary ingredient for the formation of unhealthy levels of surface ozone. NASA Aura's Ozone Monitoring Instrument (OMI) instrument has been monitoring NO2 data since 2004 and has been used in a variety of health and air quality applications. The Tropospheric Monitoring Instrument (TROPOMI) instrument aboard Sentinel-5P, launched in 2017, represents a significant improvement in spatial resolution over OMI. It will be better-suited for many applications currently using OMI data, including monitoring air pollution. In this advanced training led by NASA's Applied Remote Sensing Training Program (ARSET), attendees learned how to access and analyze TROPOMI data and about its applications.

Prerequisites

Objectives

By the end of this training, attendees will be able to: 

  • Understand the available data products
  • Access and download TROPOMI data
  • Analyze the data using Python tools

Target Audience

This webinar is intended for end-users who are already familiar with satellite observation capabilities and have used online image archives or analysis tools at basic to intermediate levels for air quality applications, such as emissions estimation using satellite observations.

Course Format

  • Two 1-hour parts and one 2-hour part

Sessions

Part 1: Remote Sensing of NO2 with OMI

Tuesday, May 28, 2019

Remote video URL

This webinar will provide an introduction to remote sensing of air quality, a description of OMI, an overview of available data products for NO2, and available data portals and tools. 

Materials

Part 2: Introducing TROPOMI - High Resolution NO2 Observations from Space

Thursday, May 30, 2019

Remote video URL

This webinar will cover an introduction to TROPOMI, available data products for NO2, information about products detecting AI, CO, SO2, and HCHO, an overview of accessing TROPOMI data, and an exercise for downloading the data.

Materials

Part 3: Python Tools for Analyzing NO2

Monday, June 3, 2019

Remote video URL

This webinar will primarily consist of going through an exercise on using updated python codes to work with TROPOMI data. This will include reading, mapping, extracting over a point location, gridding the data, and dumping the data to a CSV file. 

Materials

Citation

(2019). ARSET - High Resolution NO2 Monitoring From Space with TROPOMI. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/high-resolution-no2-monitoring-from-space-tropomi

Details

Last Updated

Jan. 21, 2026

Published

May 28, 2019

Data Center/Project

Applied Remote Sensing Training Program (ARSET)