Teaching Responsibility
LJMU Schools involved in Delivery:
Biological and Environmental Sciences
Learning Methods
Lecture
Practical
Workshop
Module Offerings
7119NATSCI-SEP-CTY
Aims
To provide knowledge and understanding of GIS and remote sensing with reference to a variety of climate change impacts monitoring and management applications and to familiarise students with a range of industry-leading software. To provide programming skills (Python and/or Matlab) relevant to manipulating environmental data.
Learning Outcomes
1.
Critically evaluate the basic concepts behind remote sensing and GIS techniques and data
2.
Analyse and synthesise data in a variety of different GIS/remote sensing software.
3.
Evaluate the benefits and limitations of a variety of remotely sensed data.
4.
Experiment with advanced digital image processing techniques to extract quantitative information on the environment from remotely sensed data
5.
Choose the most appropriate remote sensing and GIS techniques and software for use in environmental science applications
6.
Write code in Python and/or Matlab to manipulate and display environmental data
Module Content
Outline Syllabus:Introduction to remote sensing (basic concepts, satellites and airborne data), introduction to GIS, Python/Matlab programming, climate change impacts monitoring and management with case studies on e.g. wildfires, extreme weather events.
Module Overview:
This module uses industry standard remote sensing software (ENVI), geographical information software (ArcGIS/QGIS) and programming software (Matlab/Python) to provide skills in data collection, processing, interpretation and analysis for monitoring the environment and managing impacts. Case studies of monitoring and management in a variety of topics (e.g. wildfires, hurricanes) and using a variety of data (e.g. satellite, drone) will also be taught.
This module uses industry standard remote sensing software (ENVI), geographical information software (ArcGIS/QGIS) and programming software (Matlab/Python) to provide skills in data collection, processing, interpretation and analysis for monitoring the environment and managing impacts. Case studies of monitoring and management in a variety of topics (e.g. wildfires, hurricanes) and using a variety of data (e.g. satellite, drone) will also be taught.
Additional Information:This module will equip students with practical skills in analysing environmental data and highlight how these data can be used in management strategies.