10423 (v.3) Digital Remote Sensing 281

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Area:	Department of Spatial Sciences
Contact Hours:	5.0
Credits:	25.0
Lecture:	1 x 2 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Laboratory:	1 x 2 Hours Weekly
Prerequisite(s):	4579 (v.2) Mathematics 181 OR 12165 (v.2) Mathematics 133
Upon completion of this unit students will have - Gained an overall understanding of the use of digital remote sensing for mapping the earth's surface. Developed an understanding of the physics of of data aquisition and the steps necessary to extract information from that data. Gained experience in using industry standard image processing software.
No prescribed references.
Mather, P.M. (2002). Computer Processing of Remotely Sensed Images, 2nd ed. John Wiley and Sons.
Lab Reports 20%. Mid Semester Test 35%. Exam 45%. This is a grade/mark assessment.
Scope of remote sensing. Physical base of remote sensing. Satellite and airborne sensor systems. Image statistics, display, preprocessing. Rectification of digital Landsat imagery. Image enhancement, spectral and spatial filtering. Thematic information extraction, classification and acuracy assessment, change detection. Hyperspectral and radar sensors. Selecting a remote sensing system for application.