Advanced Imagery Analysis
"Advanced Imagery Analysis," delves deeper into the techniques and methodologies used in working with information from remote sensing sources. Designed for students with a foundational understanding of imagery analysis, this course encourages learners to expand upon that understanding to include the application of concepts that are critical for addressing emerging geospatial challenges. Topics covered include creating analysis ready datasets; machine learning; image classification; change analysis; working with 3D and non-literal data types; and the integration of multiple content sources. Students will engage in weekly hands-on projects, leveraging modern software tools and processes to develop the appropriate approach for real-world problems. Ethical considerations and best practices in data management will also be emphasized. By the end of the course, students will be equipped with a portfolio of practical skills and knowledge, positioning them for specialized roles in remote sensing, geospatial analysis, environmental science, and related fields.
Prerequisites & course information
Credit 3 units. Typical periods offered: Fall, Summer 3, Spring
Sources
- Course catalogue โ2026โ2027