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Coastal Ocean Remote Sensing

Ocean 497/590

 

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Course Overview :

 

This course will be focused 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 use. The course will also instruct students in the use of image processing and GIS software such as ENVI, IDRISI, 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 these softwares is required to take the course.

 

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, then will discuss their research in a 15-minute presentation.

 

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

 

Monday - Lecture / Labs: 11:00 - 12:20
Ocean Science Building: Room 111