2023/24 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 2023/24

Pre-requisite qualifications

Students should 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

GEOG5710

Digital Image Processing for Environmental Remote Sensing

This module is not approved as an Elective

Module summary

On completion of this module students will:- have been introduced 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

The objective of this module is to introduce students to the fundamental principles behind satellite image acquisition, processing and interpretation. The first half of the module focuses on how to display, restore and manipulate raw image data and undertake some simple image arithmetic. The second half of the module introduces methods for image classification, and standard protocols for collecting training data and evaluating classification accuracy. On completion of the module, students will be able 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.

Syllabus

An indicative syllabus for this module is shown below:

1. Introduction to earth observation and digital image processing for environmental research, Introduction to electromagnetic radiation and the spectrum.
2. Image display and enhancement
3. Image pre-processing – radiometric, geometric, atmospheric correction
4. Spectral reflectance and energy-land interactions
5. Unsupervised classification
6. Methods for supervised classification
7. Object-based classification
8. Deriving elevation data from remote sensing

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

Private study

Private study and online learning includes directed and independent wider reading, independent practical work and researching/undertaking module assessments and related tasks.

Opportunities for Formative Feedback

Formative feedback will be provided via discussion boards where students are encouraged to post questions, comments, practical outputs etc. Note that the outputs requested here will differ from those required as part of the summative portfolio.
The module leader will also provide support via email and Skype/Collaborate Ultra during the learning stages, in advance of assessment.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Project report (2,500 word equivalent)	70.00
Portfolio	Weekly outputs from practicals (1,500 word equivalent)	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: 28/04/2023 14:56:06

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