LDARCH 289
Applied Remote Sensing
This course consists of one lecture and one computer lab per week introducing fundamental principles and methods of environmental remote sensing and their practical applications. We will explore strategies for working with different types of remote sensing data and extracting image-based landscape information for various environmental research and planning objectives. This course focuses largely on local to regional scale applications of remote sensing in ecology, environmental planning and design, civil & environmental engineering and natural resource management.
Topics
- Learn practical skills and techniques to extracting landscape information from remote sensing data as image interpretation, classification, accuracy assessment, mapping and change analysis. Become familiar with different types of data and instruments in remote sensing and learn how to choose the optimal remote sensing data and procedure for various landscape and environmental analysis applications. Explore traditional and novel remote sensing techniques and their use in landscape planning, environmental studies and natural resource management. Develop the capacity to work with the remote sensing literature and synthesize the relevant knowledge across different studies.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027