2024/25 Taught Postgraduate Module Catalogue

GEOG5006M Digital Image Processing for Environmental Remote Sensing

15 creditsClass Size: 40

Module manager: Duncan Quincey
Email: d.j.quincey@leeds.ac.uk

Taught: 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar View Timetable

Year running 2024/25

Pre-requisite qualifications

Students should normally have completed the PGCert year of the programme before attempting this module, or be able to evidence equivalent prior learning through other educational programmes or work experience.

This module is mutually exclusive with

GEOG5710M

Digital Image Processing

This module is not approved as an Elective

Module summary

On completion of this module students will:- have been introduced to concepts, theories and methods of earth observation from aircraft and earth orbital satellites for environmental research and for input into GIS;- be able to use appropriate software to read, display, restore, enhance, classify and extract information about the land surface from diverse types of remote sensing images;- understand the standard workflow used to turn remote sensing data (i.e. images) into information (i.e. thematic outputs) in a range of applications.

Objectives

This module seeks to:

- Introduce students to the fundamental principles behind satellite image acquisition, processing and interpretation.

- Enhance student ability in how to display, restore and manipulate raw image data and undertake some simple image arithmetic.

- Increase understanding and implementation of image classification, and standard protocols for collecting training data and evaluating classification accuracy.

- Enable students to source and download their own imagery, undertake basic pre-processing, and classify their images using both supervised and unsupervised approaches, ultimately leading to assessments and interpretation of environmental change.

Learning outcomes
On completion of this module students will be able to:

1. understand the concepts, theories, methods and use of digital image processing of earth observation images for environmental research;
2. use a market leader in Remote Sensing software to read, display, restore, enhance, classify and extract information about the land surface from diverse types of remote sensing images for studying, for example, soils, crops, grasslands, ecology, forests, hydrological and ecological processes, urban environments and environmental change;
3. appreciate the rich scientific literature on earth observation, image processing of earth observation images and use of the resulting processed data in environmental research, physical geography and geographical information systems.

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills learning outcomes:
4. The ability to use digital technology and techniques to create digital items (such as classified images), to solve problems, make decisions and answer questions.
5. Understanding of the sources of digital environmental data, and how they should be processed before analysis.
6. The ability to write in a clear, concise, focused and structured manner that is supported by relevant evidence.

Syllabus

Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.

Teaching methods

Delivery type	Number	Length hours	Student hours
Discussion forum	8	2.00	16.00
Individual Support	8	1.00	8.00
Independent online learning hours			48.00
Private study hours			78.00
Total Contact hours			24.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

Formative feedback will be provided during practical activities where students will be encouraged to post outputs to devoted unit-by-unit discussion boards. This will allow for peer critique in addition to staff comments. Note that the outputs requested here will differ from those required as part of the summative assessments.
The module leader will also be on hand to provide support (email / Teams / discussion board / etc) during the teaching weeks, in advance of assessment. Whilst not directly formative assessment, this will ensure that the students receive feedback / support on matters of need.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Coursework	70.00
Assignment	Coursework	30.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 29/04/2024 16:14:37

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