Difference between revisions of "User:MatthewWierdsma"

From CUOSGwiki
Jump to navigationJump to search
(Created page with "I am currently editing this tutorial to revise the instructions and add any additional information related to the process.")
 
 
(6 intermediate revisions by the same user not shown)
Line 1: Line 1:
  +
Profile page for Matthew Wierdsma, 4th Year Geomatics Undergraduate student at Carleton University
I am currently editing [[Fire_Risk_Analysis_using_QGIS|this tutorial]] to revise the instructions and add any additional information related to the process.
 
  +
  +
Contact: Matthew.Wierdsma@Carleton.ca
  +
 
I edited [[Fire_Risk_Analysis_using_QGIS|this tutorial]] to revise the instructions and add any additional information related to the process.
  +
  +
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.
  +
  +
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.).
  +
  +
<!-- Vlad Guerrero Jr. is going to get AL MVP, Jays will make World Series 2022 -->

Latest revision as of 21:30, 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.).