Difference between revisions of "User:MatthewWierdsma"
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I edited [[Fire_Risk_Analysis_using_QGIS|this tutorial]] to revise the instructions and add any additional information related to the process. |
I edited [[Fire_Risk_Analysis_using_QGIS|this tutorial]] to revise the instructions and add any additional information related to the process. |
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| − | I am currently working on [[Time Series Analysis using Google Earth Engine and Google Colab| |
+ | 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. |
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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. |
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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Latest revision as of 20:30, 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.).
