Course Catalogue

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The course will introduce students to the principles of optical remote sensing and digital image processing, and will include an introduction to active and thermal remote sensing systems, applying the concepts covered in lectures to example environmental management scenarios.

Teaching will be over a 2-3 week period, with further time for practical work, study & reflection, and examination.

Admission to MSc in Environmental Science (F753C-5301)

None

Geographic Information Systems for Environmental Science (DUMF5115)

Lab reports from lab practical components (20%)

Essay (20%)

Applied remote sensing project (20%)

Examination (40%)

■ To introduce the principles of optical remote sensing

■ To introduce the concepts of digital image processing approaches that are commonly used in environmental management

■ To explore the most commonly used image clustering and image classification methods

■ To introduce students to industry standard remote sensing software

■ To introduce a range of active remote sensing approaches, and to explore their application in environmental management

■ To outline the concepts and applications of thermal sensing in environmental management

By the end of this course students will be able to:

■ Explain the scientific basis of optical remote sensing

■ Evaluate a broad range of multispectral remote sensing approaches that are used in environmental management

■ Critically assess when and where to apply the more commonly used digital image processing, filtering and classification techniques

■ Evaluate a range of active remote sensing approaches that are used in environmental remote sensing

■ Perform basic image processing tasks using an industry standard remote sensing software package

■ Critically discuss the concepts and applications of thermal remote sensing

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.