2023-2024 Academic Catalog 
    
    Dec 22, 2024  
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2023-2024 Academic Catalog [ARCHIVED CATALOG]

GEOG 315 - Applying Deep Learning to Earth Observation

Focusing on convolutional and recurrent neural networks, this course will provide an in-depth overview of key machine learning algorithms and their application to satellite imagery (especially for the task of semantic segmentation), including the full workflow required to acquire and process imagery, develop and train a model, and make and critically evaluate the resulting maps. The course will be strongly hands-on, and emphasize the use of programming (python), open image archives and EO analytical platforms (e.g. Google Earth Engine), and tools for creating open and reproducible workflows (git and GitHub).

Prerequisites: students must have sufficient background in GIScience and enough programming experience.

 GEOG 383  and at least one of  DSCI 305   or DSCI 304   or CSCI 301  

Determination regarding whether prerequisites can be waived or satisfied by other means may also be made by the instructors.

Anticipated Terms Offered: Annually
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