Teaching

This is an introductory course covering the basics in geospatial science. Topics will include: GIS data types; map design; database construction; coordinate systems; introduction to Global Positioning Systems (GPS) and remote sensing (RS); principles and methods in spatial analyst, including vector and raster data operation. More details.

Final project gallery: explore the project gallery from previous years! link 

This course (Spring only) introduces the principles and practices of remote sensing, with a focus on applications in environmental science and design. Students will gain essential skills in cutting-edge remotely sensed data acquisition and analysis techniques, including the use of handheld LiDAR devices, aerial/satellite platforms, and cloud computing. Emphasis will be placed on extracting information from natural and built environments to support landscape research and management at various scales—from individual buildings to local and regional applications in environmental planning, ecology, civil and environmental engineering, and natural resource management. More details.

This course emphasizes the interplay of theory and application, with applied computer-based homework assignments (most involving analyses within ArcGIS suite, and open source GIS software). Theory is introduced through lectures and assigned readings, while application is emphasized during in class exercises, homework assignments, and a final project. We will examine various methods employed in seeking answers to spatial problems.  More details.