Joint-honours information for 2016 entry

Global Environmental Change

Module 003GS

Module details for 2016/17.

30 credits

FHEQ Level 6

Module Outline

Environmental change has become a central global issue , with serious implications to the social and natural world. There is the need to monitor the earth¿s signs of change, especially where ground information is spatially limited, filled with error, or unavailable. Remote sensing datasets are vital in monitoring local, regional and global changes. This course is designed to enable students to understand and use remote sensing datasets to answer fundamental questions in our changing planet. This will involve understanding the nature of remote sensing, the different instruments and techniques, processing and manipulation of raw signals, and applying it to different fields within the earth and environmental sciences (atmosphere, cryosphere, hydrosphere, biosphere). Remote Sensing in the atmosphere is used for weather monitoring, greenhouse gas detection, and pollution. Remote sensing in the cryosphere is used in determining the presence, absence and change of ice cover over the earth¿s surface. Remote sensing in the hydrosphere monitors the oceans, organic and inorganic ocean constituents, sea surface temperatures, el nino events, land water fluxes, and flooding events. Remote Sensing in the biosphere monitors the component of the earth that supports life, and is sensitive to changes in climate, such as vegetation structure, composition, land cover types, soil moisture, leaf chemical components, phenology, change detection, plant stress and photosynthesis, transpiration, surface temperatures.

Module learning outcomes

Understanding differing remote sensing technologies and data characteristics.

Understand how remote sensing can be used to answer scientific questions on the environment and climate change.

Prepare and analyse digital data using ArcGIS and Matlab.

Analyse and evaluate current debates in remote sensing science.

Report (2500 words)Semester 2 Assessment Week 1 Thu 16:0060.00%
Coursework components. Weighted as shown below.
ReportT2 Week 9 75.00%
PresentationT2 Week 11 (15 minutes)25.00%

Submission deadlines may vary for different types of assignment/groups of students.


Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterPractical4 hours001010101000
Spring SemesterSeminar3 hours110100101011
Spring SemesterFieldwork4 hours000000010000

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Miss Emilia Roycroft

Assess convenor

Dr Fae Dussart

Assess convenor

Dr Alexander Antonarakis


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