Module Information

Module Identifier
EAM4020
Module Title
Fundamentals of Remote Sensing and GIS
Academic Year
2016/2017
Co-ordinator
Semester
Semester 1
External Examiners
  • Professor Daniel Donoghue (Professor - Durham University)
  • Dr Robert Bingham (Reader - University of Edinburgh)
 
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 10 x 1 Hour Lectures
Practical 9 x 2 Hour Practicals
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Exam 2 Hours   Written examination on theory and practice in Remote Sensing and GIS  50%
Semester Assessment Coursework: laboratory skills report based on analysis of Remote Sensing and GIS datasets (3000 words)  50%
Supplementary Exam 2 Hours   Resubmission of failed assessments  50%
Supplementary Assessment Resubmission of failed assessments  50%

Learning Outcomes

On successful completion of this module students should be able to:

  1. Demonstrate a critical knowledge of sources of elecromagnetic radiation and sensing techniques.
  2. List, describe and evaluate main sources of Remote Sensing and GIS data
  3. Implement standard methods for Remote Sensing data calibration and pre-processing.
  4. Explain the functionality of available software and routines for processing Remote Sensing and GIS data.
  5. Design and implement basic routines for processing and analysing data within the framework of a GIS.

Brief description

The module provides an overview of basic theory and practice in Remote Sensing and GIS.

Content

  • The electromagnetic spectrum and overview of sensors (IGES)
  • Basic principles of GIS ? raster and vector datasets (IGES)
  • Thermal, lidar and microwave sensing (IMAPS)
  • Spectral signatures (IBERS)
  • Calibration and correction of remote sensing data (IGES)
  • Spatial databases (IGES)
  • Image processing and classification (Comp. Sci/IGES)
  • Open source tools for RS and GIS data processing (IGES)
  • Data sources and integration within a GIS (IGES)

Module Skills

Skills Type Skills details
Application of Number Quantitative analysis of Remote Sensing and GIS data
Communication Discussions with fellow students in laboratories and through interactive lectures
Improving own Learning and Performance Literature review and discussions with lecturers
Information Technology Use of commercial, open source and in house software
Personal Development and Career planning Awareness of scientific literature, functionality of a variety of software packages.
Problem solving Completing calculations in relation to electromagnetic theory, image pre-processing and spectral analysis. Also, the use of GIS for spatial analysis; selection of datasets and implementation of appropriate analysis techniques
Research skills Using remote sensing and GIS software and reviewing literature
Subject Specific Skills As above
Team work Practical assignments

Notes

This module is at CQFW Level 7