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Advanced Webinar: Data Analysis Tools for High Resolution Air Quality Satellite Datasets

About ARSET:

The Applied Remote Sensing Training (ARSET) program builds the skills to acquire and use NASA satellite and model data for decision support. The program provides training via online webinars and in-person workshops. ARSET trainings are intended for policymakers, NGOs, and other applied science professionals seeking to incorporate NASA remote sensing into their daily activities. (Source: About ARSET).

The ARSET program is offering Advanced Webinar: Data Analysis Tools for High-Resolution Air Quality Satellite Datasets. 

NASA ARSET Program
Source: NASA Link

In this webinar, participants will learn how to use Python scripts to map and analyze air quality data through hands-on exercises. The training will cover MODIS aerosol optical depth data and OMI NO2 and SO2 data. (Source: Webinar Web Page)

Dates: Wednesday, January 17, 2018 to Monday, January 22, 2018

 

Times: 10:00 a.m.

Learning Objectives:

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

  • Use available Python scripts to read, map, and analyze Level-2 data
  • Modify available scripts for future use

A certificate of completion will be provided to participants that attend all live webinars and complete all homework assignments.

Registration Information:

There is no cost for the webinar, but you must register. Space is limited, and preference will be given to organizations/individuals working in the relevant area. You will be notified by email if your registration has been approved on or before January 15. Register »

For more information, please visit webinar homepage: https://arset.gsfc.nasa.gov/airquality/webinars/2018-hiresdatasets

Finally, if you are GIS enthusiast and looking for free/certificate courses in GIS, we recommend you to read about GIS courses available on Coursera or FutureLearn.

 

Hi, I am a professional Geoinformatics Engineer who has passion for knowing more and more about Geospatial technologies. My particular areas of interest are Spatial Databases, Remote Sensing, and Geospatial Analytics. In addition, I am a strong proponent of free and open-source GIS, Volunteer Geographic Information (VGI), and open geo-data such as OSM.

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Muhammad Kamran

Hi, I am a professional Geoinformatics Engineer who has passion for knowing more and more about Geospatial technologies. My particular areas of interest are Spatial Databases, Remote Sensing, and Geospatial Analytics. In addition, I am a strong proponent of free and open-source GIS, Volunteer Geographic Information (VGI), and open geo-data such as OSM.

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