Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Environmental Remote Sensing (Nankai) DUMF5114

  • Academic Session: 2022-23
  • School: School of Interdisciplinary Studies
  • Credits: 20
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Available to Erasmus Students: No

Short Description

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.

Timetable

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

Requirements of Entry

Admission to MSc in Environmental Science (F753C-5301)

Excluded Courses

None

Co-requisites

Geographic Information Systems for Environmental Science (DUMF5115)

Assessment

Lab reports from lab practical components (20%)

Essay (20%)

Applied remote sensing project (20%)

Examination (40%)

Main Assessment In: April/May

Course Aims

■ 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

Intended Learning Outcomes of Course

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

Minimum Requirement for Award of Credits

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