Module DXX-3115:
Advanced GIS & Remote Sensing

Module Facts

Run by School of Natural Sciences

10.000 Credits or 5.000 ECTS Credits

Semester 2

Organiser: Dr Sopan Patil

Overall aims and purpose

This module aims to teach intermediate to advanced level concepts in the geographical information system (GIS) and introductory to intermediate level concepts in remote sensing. It will provide concise theoretical background, but focus primarily on hands-on training in several advanced features of the ArcGIS software. The module is intended for students who are already familiar with the GIS software and want to improve the breadth and depth of their knowledge and skills in GIS as well as remote sensing.

Course content

  1. Using Model Builder to automate complex and repetitive tasks in ArcGIS.
  2. Using ArcGIS Network Analyst to perform network analysis tasks such as calculation of shortest routes, travel times, multi-vehicle route optimization, and location allocation.
  3. Introductory concepts in Remote Sensing.
  4. Performing land cover classification of satellite images.
  5. 3D modelling of landscapes.
  6. Creating map animations.

Assessment Criteria

threshold

Grades D to D+. Adequate knowledge of the key advanced concepts in GIS and introductory concepts in remote sensing. Evidence of limited ability in the use of advanced features of the ArcGIS software as well as in the production of well-structured and accurate maps to present the results from various spatial analyses. Basic level of critical evaluation expected.

good

Grades C- to B+. Clear understanding and thorough knowledge of the key advanced concepts in GIS and remote sensing with ability to independently use the advanced features of the ArcGIS software. Evidence of the knowledge of the connection between the theoretical concepts of spatial analyses and their practical implementation with the ArcGIS software. Demonstration of a good ability in producing well-structured and accurate maps for the presentation of results from various spatial analyses. High standard of presentation.

excellent

Grades A- to A**. Excellent understanding, wide and thorough knowledge of the numerous advanced concepts in GIS and remote sensing. Evidence of a substantial ability in the independent use of the advanced features of the ArcGIS software. Evidence of substantial reading and appreciation of the connection between the theoretical concepts of spatial analyses and their practical implementation with the ArcGIS software. Demonstration of an exceptional ability in producing well-structured and accurate maps for the presentation of results from various spatial analyses. Very high standard of presentation.

Learning outcomes

  1. An ability to develop advanced map renderings, specifically 3D models and animations, using Global and Local scenes in ArcGIS.

  2. An understanding of network data models in GIS and the ability to use Network Analyst extension to perform network analysis tasks.

  3. An understanding of basic remote sensing concepts and the ability to extract and calculate environmentally relevant information from satellite images.

  4. An ability to automate complex and repetitive tasks in ArcGIS using Model Builder.

Assessment Methods

Type Name Description Weight
Advanced concepts in ArcMap 34.00
Remote Sensing 33.00
3D modelling and map animations 33.00

Teaching and Learning Strategy

Hours
Lecture 4
Practical classes and workshops 18
Private study 78

Transferable skills

  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others

Subject specific skills

  • Recognize and apply appropriate theories and concepts from a range of disciplines.
  • Consider issues from a range of interdisciplinary perspectives.
  • Apply subject knowledge to the understanding and addressing of problems.
  • Collect, analyse and interpret primary and/or secondary data using appropriate qualitative and/or quantitative techniques.
  • Awareness of the concepts of spatial and temporal scale in understanding processes and relationships.
  • Apply appropriate techniques for presenting spatial and/or temporal trends in data.
  • Preparation of effective maps, diagrams and visualizations.

Resources

Pre- and Co-requisite Modules

Courses including this module

Compulsory in courses:

Optional in courses: