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Instructor Class Description

Time Schedule:

Miles G. Logsdon
OCEAN 452
Seattle Campus

Spatial Information Technology in Ecosystem Sciences

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 FISH 452; A.

Class description

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

Recommended preparation

none

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.


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Course Web-site
Last Update by Miles G. Logsdon
Date: 09/18/2007