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The course covers the fundamentals of spatial analysis for ecosystem management and conservation problems. Students will develop skills in the application of remote sensing and Geographic Information Systems (GIS) for landscape analysis of data. Methodologies for collecting, analysing and interpreting spatial data will be considered through theoretical and practical approaches. These will include data collected by drones through to satellite derived measures at a continental to global scale. Students will learn the spatial skills essential to environmental management by applying industry standard tools and methods. Finally, students will develop an understanding of the emerging technologies in data collection and analysis.
Intended learning outcomes
By the end of the subject students should have:
- Experience and proficiency in the use of Geographic Information Systems (GIS) on multiple software platforms;
- An ability to collect, analyse and interpret spatial data to address ecosystem management and conservation questions;
- Experience in methodologies to collect spatial data about natural resources and people at multiple scales and critically assess their limitations;
- Knowledge of the current remote sensing technologies and their application; and
- Understand emerging technologies in spatial data collection and analysis.
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
- Use of various GIS platforms for analysing spatial data
- Collection and analysis of remotely sensed data
Last updated: 31 January 2024