This training will cover the applications of Earth observations for decision making activities. Lectures & exercises will highlight applications related to air quality monitoring, forecasting, smoke, fire, PM2.5 monitoring, image interpretation, and data access for modeling efforts. Data sources will include:
To conclude the training, participants will complete a case study that incorporates all data portals, tools, and relevant data. Participants will apply this to properly identify, track, and measure air quality events of their choosing. This will also allow them to assess the strengths and weaknesses of these data products.
This training will take part before and after the TEMPO Health Applications Conference.
This training is appropriate for air quality and health professionals, as well as decision makers from local, state, and federal agencies, NGOs, and the private sector. Limited spots will be reserved for research and academia.
Training participants will be selected through a registration process and priority may be given to applied end users. Register Here »
Introduction to TEMPO, Applications, and Synthetic Data Access
Satellite and Health Data Analysis Using the Google Cloud Platform
Using Python Scripts to Read and Map Synthetic TEMPO Data
Exploring Synthetic TEMPO Data Using Panoply & ArcGIS
Using Synthetic TEMPO and Health Data for Analysis on the Google Cloud Platform