Difference between revisions of "User:MatthewWierdsma"

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I am currently working on [[Time Series Analysis using Google Earth Engine and Google Colab|A Tutorial]] that uses Google Earth Engine within the Google Colab environment to utilize Python scripts.
 
I am currently working on [[Time Series Analysis using Google Earth Engine and Google Colab|A Tutorial]] that uses Google Earth Engine within the Google Colab environment to utilize Python scripts.
   
These scripts are used to create a Time-Series Analysis in both a quantitative and qualitative fashion using a COVID-19 case study; air quality is used as an example in the tutorial using pre-processed Earth Engine Sentinel-5P TROPOMI data to analyze NO2 levels pre and post-pandemic, following up on various news cycle topics that focused on the environmental impact of the COVID-19 pandemic, and specifically its lockdowns.
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These scripts are used to create a Time-Series Analysis in both a quantitative and qualitative fashion using a COVID-19 case study; air quality is used as an example in the tutorial using pre-processed Earth Engine Sentinel-5P TROPOMI data to analyze NO2 levels pre and post-pandemic.
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This topic was chosen to follow up on various news cycle topics that focused on the environmental impact of the COVID-19 pandemic, specifically health safety measures (lockdowns, shutdown of industrial activity, etc.).
   
 
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Revision as of 21:29, 7 December 2021

Profile page for Matthew Wierdsma, 4th Year Geomatics Undergraduate student at Carleton University

Contact: Matthew.Wierdsma@Carleton.ca

I edited this tutorial to revise the instructions and add any additional information related to the process.

I am currently working on A Tutorial that uses Google Earth Engine within the Google Colab environment to utilize Python scripts.

These scripts are used to create a Time-Series Analysis in both a quantitative and qualitative fashion using a COVID-19 case study; air quality is used as an example in the tutorial using pre-processed Earth Engine Sentinel-5P TROPOMI data to analyze NO2 levels pre and post-pandemic.

This topic was chosen to follow up on various news cycle topics that focused on the environmental impact of the COVID-19 pandemic, specifically health safety measures (lockdowns, shutdown of industrial activity, etc.).