Remote Sensing of the Environment GEOG5056
- Academic Session: 2022-23
- School: School of Geographical and Earth Sciences
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Available to Erasmus Students: Yes
Introductory principles of remote sensing and examples of data sets. Processing and interpretation of remotely sensed data.
Second semester, with all classes on 1 day of the week, for 5 weeks.
Requirements of Entry
GEOG4094 Remote Sensing
2. Project reports based on analysis of remote sensing data. (40%)
2. A written examination involving both data interpretation and essay answers (60%)
Main Assessment In: April/May
Are reassessment opportunities available for all summative assessments? No
Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below.
Report can be resubmitted but no further analysis can be undertaken
The course aims to provide students with understanding of the principles and practicalities of airborne and satellite remote sensing. Awareness of the potential and limitations of remotely-sensed data will be developed, along with appreciation of errors and uncertainties in the data.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ explain the principles of remote sensing, with reference to a range of examples;
■ explain methods for processing remotely sensed data to generate environmental information;
■ explain sources of error in remote sensing data;
■ explain examples of the use of remote sensing data to detect and quantify environmental change;
■ explain how remote sensing data can be integrated with other data sources;
■ discuss the limitations of using remotely sensed data to detect environmental change;
■ write scientific reports, including use of established conventions for the reporting of results and analysis and the appropriate use and referencing of relevant published material.
Minimum Requirement for Award of Credits