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This course explores the role and use of geospatial technologies in the context of vegetation management. Theory and practical application of geographic information system (GIS) software, global navigation satellite system (GNSS) technology, and remote sensing (e.g. satellite imagery, LiDAR) will be used to analyse and solve spatial problems in forests and other vegetated landscapes.
This course is designed to illustrate how geospatial technologies can be applied to a range of vegetation management problems. Students will develop understanding and skills applicable to a range of spatial challenges in vegetated landscapes. The course emphasizes cutting-edge technologies.The course content is arranged into themes:• Data collection - this includes spatial data collection using global navigation satellite systems and attribute data collection using ground-based methods or remote sensing;• Remote sensing - an applied introduction to the various remote sensing technologies including aerial photography, satellite imagery, and LiDAR; and• Geographic Information Systems - developing capabilities to analyze and solve complex spatial problems in vegetation management, inclusive of forests and other vegetated landscapes.
1. Appreciate and understand the role of specialised geospatial technologies in solving a range of forest management problems (EEI3, EEI4)2. Understand the limitations and the theoretical background of global navigation satellite systems, geographic information systems, and remote sensing with respect to complex problems in forest management (EEI3, EEI4)3. Have developed the practical skills to confidently apply global navigation satellite systems, geographic information systems, and remote sensing techniques to complex problems in forest management (EEI3, EEI4)
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
FORE442 - Application of Information Technology in Forestry FORE342 - Geospatial Science in Forest Monitoring and Management FORE642 - Advanced Geospatial Science in Forest Monitoring and Management
Students must attend one activity from each section.
Justin Morgenroth
Domestic fee $1,190.00
International fee $5,875.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see School of Forestry .