Miles G. Logsdon
Introduces the use of Geographic Information Systems (GIS), remote sensing, and spatial analysis in the ecosystem sciences. Emphasizes sampling and analysis of spatially-referenced data about the coastal and marine environments, integrating these technologies in an applied research setting. Offered: jointly with OCEAN 452; A.
This course is designed to introduce the use of GPS, GIS and Remote Sensing in the ecosystem sciences. In this course each student will participate in the collection of georeferenced field measurements and observations (GPS), importing those spatial data into a GIS, classifying the landcover over the spatial extent of those data from remotely sensed imagery, and analyzing their spatial variability. This applied course is intended to integrate these technologies in an applied setting, and to motivate students to incorporate these tools and techniques in their future work.
Student learning goals
Create, Edit, Manage geospatial data in current Geographic Information System software.
Classify multispectral remotely sensed imagery and derive basic process based indices from that data.
Generate basic quantitative spatial pattern metrics of point, line, area and grid based spatial data.
design research methods which require spatial data analysis
General method of instruction
This is a Lecture/demo and hands-on computer lab style course
Class assignments and grading
The labs are not graded, but highly recommended for success in the class.
The grade is based upon two exams, an individual project, and a team project.