Study Abroad and Exchanges

Modules

Modules

CEG3715 : Environmental Informatics

Semesters
Semester 1 Credit Value: 20
ECTS Credits: 10.0

Aims

This module aims to expose students to the advanced remote sensing and GIS approaches employed in modern terrestrial environmental applications. The module aims to teach the core theory and principles of how remote sensing and GIS spatial analysis can be employed as a fundamental tool in environmental applications; from data capture, management, analysis through to simulation modelling. The module will provide students with practical experience of how the techniques covered are applied in practice via the computational implementation of this principles and theory covered. The module focuses on showing how, in combination, an integrated remote sensing and GIS computational approach can be applied to terrestrial environmental studies.

Outline Of Syllabus

The module will comprise a range of taught theory and practical computer-based material that will demonstrate to students how remote sensing and GIS is used to perform analysis and modelling in terrestrial environmental applications. In semester 1 modern approaches to remote sensing data analysis and modelling are introduced, material that is extended to consider how remote sensing can be used to monitor land cover change and provide inputs to environmental models. Students are then introduced to how such remotely sensed information can be analysed and understood in a spatial manner by the use of landscape ecology and associated metrics. In semester 2 this coverage of quantitative spatial analysis is extended to cover the use of spatial statistics and geostatistics in environmental studies. Spatial simulation modelling for terrestrial applications is introduced covering both the spatial modelling of the natural and built-environment. Aspects of how spatial analysis and models can be presented and visualised are also covered. Linked practicals will be used to expose students to the practice of environmental informatics via assessed projects in each semester.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion27:0014:00Assessment preparation and submission.
Scheduled Learning And Teaching ActivitiesLecture261:0026:00N/A
Guided Independent StudyAssessment preparation and completion13:303:30Essay
Guided Independent StudyAssessment preparation and completion260:3013:00Revision for Exam
Guided Independent StudyAssessment preparation and completion12:002:00Exam
Scheduled Learning And Teaching ActivitiesPractical82:0016:00Including formative assesment.
Guided Independent StudyDirected research and reading261:0026:00Homework questions for review in future lectures/blackboard feedback.
Guided Independent StudyDirected research and reading61:006:00Seminar preparation reading by students.
Scheduled Learning And Teaching ActivitiesSmall group teaching61:006:00Applied and technical seminars on research applications.
Guided Independent StudyIndependent study187:3087:30Background reading and reading lecture notes for a full understanding of material.
Total200:00
Teaching Rationale And Relationship

Lectures are used to present the underlying theory and principles of the use of remote sensing and GIS in environmental analysis. Practical sessions will allow students to apply the theory in relation to real world computational environmental applications. Seminars will expose students to cutting edge research and show how environmental applications routinely employ high-level remote sensing and spatial analysis/modelling concepts.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A50N/A
Exam Pairings
Module Code Module Title Semester Comment
CEG3716Geospatial Informatics1N/A
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M20Remote sensing computer practical (7 hours effort)
Practical/lab report1M20Spatial analysis computer practical (7 hours effort)
Essay1M10Seminar synopsis 1 (3.5hrs effort)
Formative Assessments
Description Semester When Set Comment
Practical/lab report1MTo be completed within a practical session.
Assessment Rationale And Relationship

A formal examination will be used to assess understanding of theoretical concepts. Practical reports will assess computational skills, understanding of algorithms and quantitative skills. Progress in non-assessed practicals will be confirmed by formative assessments to be completed within the practical session. Seminar synopsis reports will develop independent research and critical review skills and assess ability to synthesise and present information.

Reading Lists

Timetable