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FOR30430

Academic Year 2024/2025

Geographic Information Systems (FOR30430)

Subject:
Forestry
College:
Health & Agricultural Sciences
School:
Agriculture & Food Science
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Dr Amanda Sosa
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module provides an introduction to mapping for presentation and data analysis using Geographical Information Systems (GIS). This course will also feature an introduction to remote sensing. The primary focus of this module is to develop skills to objectively quantify the spatial distribution of forest resources for management, planning and research purposes.

About this Module

Learning Outcomes:

Topics covered will include: The fundamental concepts of GIS and remote sensing. Understanding georeferenced GIS raster and vector data sources and web services. Development of hands-on GIS skills for point, line, polygon and attribute creation and editing within ArcGIS. Enhancement and integration of GIS data sources. Importing and joining external attribute files to layers within a GIS. Building GIS queries. Integration of vector, raster and attribute GIS databases. Specification of GIS database structure. Digital area, perimeter and centroid estimation. Application and use of GIS and remote sensing in sustainable forest management (SFM) spatial resource inventory. This module is focused on developing the skills in GIS which can easily be transferred to other modules and research projects.

Indicative Module Content:

Topics covered will include: The fundamental concepts of GIS and remote sensing. Understanding georeferenced GIS raster and vector data sources and web services. Development of hands-on GIS skills for point, line, polygon and attribute creation and editing within ArcGIS. Enhancement and integration of GIS data sources. Importing and joining external attribute files to layers within a GIS. Building GIS queries. Integration of vector, raster and attribute GIS databases. Specification of GIS database structure. Digital area, perimeter and centroid estimation. Application and use of GIS and remote sensing in sustainable forest management (SFM) spatial resource inventory. This module is focused on developing the skills in GIS which can easily be transferred to other modules and research projects.

Student Effort Hours:
Student Effort Type Hours
Lectures

36
Specified Learning Activities

24
Autonomous Student Learning

50
Total

110

Approaches to Teaching and Learning:
This module will consist of short lectures followed by practical lab sessions using ArcGIS.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
BSEN40780 - Remote Sensing and GIS


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Assignment 1. GIS Data Basis Week 3 Alternative linear conversion grade scale 40% No
10
 No
Assignment(Including Essay): Assignment 2. Coordinate Systems and Projections Week 4 Alternative linear conversion grade scale 40% No
15
 No
Assignment(Including Essay): Assignment 3. Analysis Tools Week 6 Alternative linear conversion grade scale 40% No
10
 No
Assignment(Including Essay): Assignment 4. Land cover classification Week 10 Alternative linear conversion grade scale 40% No
15
 No
Individual Project: Final Project Week 14 Alternative linear conversion grade scale 40% No
50
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Maryam Roudneshin Lecturer / Co-Lecturer
Ms Maryam Roudneshin Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Computer Aided Lab Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 Wed 14:00 - 14:50
Autumn Computer Aided Lab Offering 1 Week(s) - 2, 3 Wed 14:00 - 17:50
Autumn Computer Aided Lab Offering 1 Week(s) - 1, 4, 5, 6, 7, 8 Wed 15:00 - 17:50
Autumn Computer Aided Lab Offering 1 Week(s) - 10, 13 Wed 15:00 - 17:50
Autumn Tutorial Offering 1 Week(s) - 11 Wed 15:00 - 17:50
Autumn Computer Aided Lab Offering 1 Week(s) - 12 Wed 15:00 - 17:50
Autumn Computer Aided Lab Offering 1 Week(s) - 9 Wed 15:00 - 17:50
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