Google Earth Engine
Explore Google Earth Engine in this two-day boot camp through seminars and hands-on case studies, mastering techniques to analyze environmental factors and exposures for health research.
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Course Description
The Google Earth Engine Boot Camp is a two-day intensive workshop designed to equip participants with the skills to leverage geospatial data and analysis for environmental exposure and health research.
- Utilize Google Earth Engine’s vast satellite imagery and geospatial datasets for fine-scale environmental exposure assessments in health research.
- Apply data analysis methods to estimate environmental factors such as air pollution, green space, temperature, and climate-related exposures using real-world case studies.
- Explore cutting-edge geospatial exposure assessment techniques and emerging opportunities in satellite data and environmental exposure science.
- Integrate Google Earth Engine applications into planetary and human health research, advancing studies on climate change, natural systems, and urban environments.
To contact support for this course, please email [email protected].
Course Prerequisites
The Google Earth Engine Boot Camp welcomes investigators from all institutions and career stages, with a special focus on trainees and early-stage researchers. Participants must sign up for a Google Earth Engine account, watch a 30-minute introductory presentation, and have a laptop with Zoom, while basic coding and GIS familiarity is recommended for the best experience.
What You Will Learn
By the end of this boot camp, participants will be familiar with:
- Capabilities of the Google Earth Engine
- Datasets available for environmental exposure science
- Data analysis methods within the Google Earth Engine
- Applications for air pollution, green space, built environment, temperature, and climate exposure research
- Applications for planetary and human health research
- Emerging satellite data and exposure science opportunities
Instructors
Perry Hystad, PhD, leads the Spatial Health Lab at Oregon State University, where his research explores the connections between place and human health and well-being. His work focuses on environmental exposure assessment and epidemiology, with applications in air pollution, healthy built environments, and climate resilience. As a dedicated collaborator, Perry emphasizes the importance of interdisciplinary team science in addressing the most pressing environmental health challenges. He holds an MSc in Geography from the University of Victoria and a PhD in Epidemiology from the University of British Columbia.
Andy Larkin is an Assistant Research Professor in the Spatial Health Lab within the College of Health. His research focuses on the intersections of environmental epidemiology with new technologies and big data, including developing smartphone applications for air pollution informatics, computational models to predict biological responses to complex chemical exposures, and analyzing user interfaces from an affect heuristic perspective for optimal risk communication.
Currently, he is developing global land use regression (LUR) models, which predict air pollution levels based on land use and traffic characteristics, for NO2 and PM2.5 air pollution. These models will be applied to the Prospective Urban and Rural Epidemiological (PURE) cohort study. He is also developing spatial exposure assessment methods for unconventional oil and gas development that can be used in future epidemiological analyses. Additionally, Dr. Larkin is conducting novel exposure assessments for green space using a smartphone application, Google Street View imagery, and image processing techniques.