Still time to enroll for DIVE GIS summer in the Mediterranean

Openings are still available for the Friday Harbor Labs Summer program.

This course will focus on the application of remotely sensed data to the ocean and coastal environments. The course is suited for those students who seek to develop skills and an advanced understanding of the concepts behind the use of earth observing satellite data to detect, describe and estimate spatial patterns and trends in land and ocean data.

The course will describe the ways in which the earth sensing satellites gather ocean and land data. The emphasis will be on those ocean and land properties that can be sensed in the visible and infrared, including ocean color, sea surface temperature (SST), Normalised Difference Vegetation Index (NDVI), and other properties related to land and ocean use. The course will also instruct students in the use of image processing and GIS software such as ENVI and ArcGIS, which students will use to analyze and produce time series of the remotely sensed data. While the course will use a set of image processing and GIS for processing & analyzing geospatial imagery,  no prior knowledge of this software is required to take the course.

There will be two take-home quizzes and a final project in the course. Final grades will be based upon student's completion of the take-home quizzes, students participation in class, completion of lab assignments, and successful completion of the final project. 

Students will be expected to do a lab project in for example, topics such as fisheries, changes in coastal environments, or changes in land use affecting adjacent waters, where these projects can be done in pairs. Students will also be expect to write a short report on their project, then discuss their research in a 15-minute presentation.


Recommended text: An Introduction to Ocean Remote Sensing, by Seelye Martin

    Ocean 497B / 506B

    Tuesday & Thursday: 3:30 - 4:50

  Ocean Science Building, Room 111
  The Spatial Analysis Lab.

  Dr. Seelye Martin; seelye@u.washington.edu
  Dr. Miles G. Logsdon; mlog@u.washington.edu

Send questions about this workspace to Miles Logsdon.