GG3210 Remote Sensing

Academic year

2024 to 2025 Semester 1

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

10

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 9

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Planned timetable

Wed 9am-1pm

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr T J Young

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr T J Young

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module focusses on using satellite remote sensing data and techniques to quantify and study characteristics and changes at the Earth surface. Multi-temporal satellite data analysis will allow students to investigate key geographic topics such as direction and magnitude of urban development, land-use change, changes of coastal waters, vegetation changes or cryospheric changes. Besides the physical background and basic principles of remote sensing, students will specifically learn how to analyse and classify optical satellite remote sensing data in order to be able to apply remote sensing data and methods in their area of interest. Teaching is delivered through a combination of lectures and practical IT lab work.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS SD2100

Assessment pattern

Coursework = 100%

Re-assessment

Coursework = 100%

Learning and teaching methods and delivery

Weekly contact

1 lecture (x 8 weeks), 2 practicals (x 9 weeks)

Scheduled learning hours

26

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

72

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Understanding the intermediate principles of remote sensing
  • Able to select appropriate remote sensing data
  • Able to use specific remote sensing software for a range of tasks
  • Able to analyse and interpret various remote sensing data and obtain classification and change assessment.