FORE642-23S1 (C) Semester One 2023

Advanced IT Applications in Forestry and Natural Resource Management

15 points

Details:
Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023

Description

This course illustrates how information technology can be applied to a range of forestry and vegetation management problems. Students will develop geospatial technology skills applicable to a range of natural resource management and forestry disciplines. The course includes an emphasis on using cutting edge technologies like ArcGIS software, positioning technology, and image analysis, which are of value to forest and natural resource management.

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.

Learning Outcomes

  • 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, GIS software, and remote sensing techniques to complex problems in forest management

Prerequisites

Subject to approval of Head of School

Restrictions

Lecturer

Justin Morgenroth

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.

Assessment

Assessment Due Date Percentage 
Literature Review 25%
ArcGIS Practical Test 25%
GIS Project Assignment 10%
Mid-Year Exam 40%

Textbooks / Resources

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.

Indicative Fees

Domestic fee $1,164.00

* 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 .

All FORE642 Occurrences

  • FORE642-23S1 (C) Semester One 2023
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