Difference between revisions of "User:MatthewWierdsma"

From CUOSGwiki
Jump to navigationJump to search
Line 6: Line 6:
   
 
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.
+
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.
   
 
<!-- Vlad Guerrero Jr. is going to get AL MVP, Jays will make World Series 2022 -->
 
<!-- Vlad Guerrero Jr. is going to get AL MVP, Jays will make World Series 2022 -->

Revision as of 20:27, 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, following up on various news cycle topics that focused on the environmental impact of the COVID-19 pandemic, and specifically its lockdowns.