Prerequisites:  CE603/GS603 or CE606.

Office Hours:  Tuesday and Thursday: 10:30-11:30 am. Also, appointments can be scheduled.

Goals of the Course:  There is a need to integrate remote sensing data with other readily available digital data sources to use with engineering models. Issues that concern integrating these digital data sources into a spatial database will be discussed. The format of remotely sensed data and readily available digital data sources and how the processed remote sensing data can be integrated with these data for placement in a spatial database will be presented. How spatial databases are integrated with models to derive information on engineering problems will be discussed. Linkages between remote sensing, digital data sources and formats, and how these can be incorporated into engineering models will be covered. Understanding the linkages between the spatial data base and modeling applications is critical for optimum use of remote sensing and other digital data sources in the water resources, environmental, transportation, and geotechnical engineering areas. Computer laboratory work will be centered on using advanced image processing and data integration software (ERDAS Imagine and ArcGIS).

Textbooks:  Burrough, P.A. and R.A. McDonnell (1998) Principles of geographical information systems, Oxford University Press: New York, New York, 333 p. (on reserve at SEL).

      Jensen, J.R. (1996) Introductory digital image processing – a remote sensing perspective, Prentice Hall, Inc.: Upper Saddle River, New Jersey, 318 p. (on reserve at SEL)

Requirements:  Students are expected to attend each class and perform the computer labs. After receiving initial instructions, the labs can be done independently using the ERDAS Imagine and ArcGIS software located in the Region 1 Laboratory. The method of evaluation will be according to the following distribution:

      40% - Midterm (Thursday, 1 May) and Final Exam (Tuesday, June 10 – 10:00-11:48)

      30% - Laboratory exercises

      25% - Class project  

        5% - Oral presentation of class project