I teach into three main subjects to do with Remote Sensing, GIS and Spatial Modelling.

Remote Sensing Digital Image Analysis (EM336/436/536)

Introduction to advanced aspects of using remote sensing and image processing for resource management. The subject will cover aspects of: digital image display and enhancement; image ratios; principal components analysis; image classification and image rectification. Case studies examining the combination of remote sensing and GIS for natural resource management will be examined. Students should be computer literate and access to the Internet is highly desirable.


Spatial Analysis and Modelling (EM333/433/533)

Advanced aspects of using GIS for spatial analysis and environmental modelling are the key themes of this subject. The subject includes topics such as: raster data analysis, data merging, overlay principles, intersect and union operations, buffer applications, proximity analysis, terrain analysis including shaded relief views, site suitability analysis and network analysis. These principles are then be used for spatial modelling, including modelling species biodiversity and distribution patterns. The unit also includes a section on mobile GIS and how this technology can be used in natural resources management.


Introduction to GIS & Spatial Thinking (EM334/434/534)

This unit introduces students to the relatively new and rapidly expanding field of Geographical Information Systems (GIS). Students develop practical skills for analysing, visualising and synthesising spatial data, and the principles for applying these skills to real-world problems. Subject matter includes: understanding spatial data properties and application, map design and projection, digitising, georeferencing, spatial and surface analysis. GIS is a common and widely used tool in ecology, wildlife management, geology, environmental planning, resource modelling, and urban and regional planning. Adding GIS skills to your undergraduate or graduate program can help you get a job, or can help you delve into new areas of research. EM534 is based on the undergraduate unit EM334 with additional load consisting of extra questions on assignments and examinations; candidates for EM534 are expected to demonstrate a greater level of understanding of the unit material than that required for EM334.


Please visit the relevant University of New England websites to get more information about these offerings, timetabling information and entry requirements.

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