Spring 1, 2021 (Jan 6 to Feb 24, 2021)
Professor of Geography
Department of Geography
Penn State University
Online: 12 - 15 hours per week for 10 weeks
Topics of Study
Topics of study for each semester will be adapted based on emerging methods, technologies, and high-impact real-world contexts.
For Fall-1 2020:
Google Earth Engine (GEE) is now, arguably, the most sophisticated and powerful image processing/image collection platform on the planet. GEOG 589 introduced this incredible tool in the summer of 2020. A tentative list of topics to be covered includes:
- Orientation to the Google Earth Engine Platform
- Working with GEE Image Collections and Ancillary Data
- Change Detection with GEE
- Time Series Analysis using the GEE Platform
- Image Classification with GEE
Students will gain hands-on experience with the GEE platform through a series of lessons and a full-semester project. NO previous experience in programming will be required for this course. A flyer with further contact information can be downloaded here.
GEOG 589 is a graduate seminar focusing on the theory and technology associated with emerging remote sensing platforms in geospatial analysis. The focus for a given semester will be adapted based on emerging methods, technologies, and high-impact real-world contexts, but will include topics such as synthetic aperture radar for image analysis and DEM generation, high-resolution hyperspectral remote sensing data collection and analysis, thermal imaging and data analysis, bathymetric lidar data acquisition and analysis, and oblique aerial imaging for 3D modeling and analysis. These technologies will be evaluated for their use in applications such as emergency and disaster response, coastal resource management, forest resource management, agricultural resource management, and geospatial intelligence.
Students will review current research and operational implementation of these high-performance remote sensing technologies, including project planning, data acquisition and processing, data fusion and analysis, product generation, and information sharing. Students will use state-of-the-art commercial software packages for data analysis and product generation. They will interact by reviewing current research and literature, developing shared knowledge in online discussion forums throughout the course. An individual research project will allow students to explore the impacts of emerging remote sensing methods in a real-world scenario of their choosing.