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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 positioning system (GPS) technology, and remote sensing (e.g. satellite imagery, LiDAR) will be used to analyze 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.
Upon successful completion of this course, the student will: Appreciate and understand the role of specialised geospatial technologies in solving a range of forest management problems Understand the limitations and the theoretical background of GPS, GIS, and remote sensing with respect to complex problems in forest management Have developed the practical skills to confidently apply GPS, ArcGIS software, and image analysis techniques to complex problems in forest management
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.
FORE442 prior to 2011
Students must attend one activity from each section.
All students must bring their own personal external storage to laboratory sessions. This will allow you to store data necessary in the GIS labs on your storage device. It is recommended your storage device has at least 2 GB of free storage space.
There are no formal texts for this course. Lecture material, laboratory notes and data can be found on the class (K) drive. Lecture and lab notes will also be supplied via the Learn site.
Domestic fee $937.00
International fee $4,363.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
School of Forestry.