STEM8003 Remote Sensing for all Disciplines GE

2019

4.5

1 x 2-hour lecture weekly
1 x 2-hour computer lab weekly
1 x 1-day excursion per semester

1 ^ STEM8002 - Introduction to Geographical Information Systems GE
2 1 of STEM1002, GEOG1003, GEOG2700, GEOG8700, GIST1201
Must Satisfy: ((1) or (2))

1 of GEOG2701, GEOG8701, STEM2001 has been successfully completed

Assignment(s), Report, Test(s)

This topic will introduce students to the theory and application of remote sensing. The topic is designed for students across a wide range of disciplines. Topic material includes the nature of electromagnetic radiation, its interaction with the atmosphere and earth surface features; sensors and data sources; the treatment of distortion in remotely sensed imagery, image classification and field training and testing. Hexagon’s professional image processing software (M.Apps and Geospatial) is used to provide students with hands-on experience. Students will also be introduced to a range of digital image analysis techniques that are used to extract useful Earth resource information from imagery.

The topic aims to introduce students to the theory and application of remote sensing while also providing experience in the use of remote sensing software that will furnish students with skills of vocational value applicable to a range of areas such as Archaeology, Biodiversity Conservation, Earth Sciences, Geography and Environmental Monitoring and Mapping.

On completion of this topic, students will be expected to be able to:

1. Identify the fundamental characteristics of electromagnetic radiation and how this energy interacts with the atmosphere and Earth surface materials such as vegetation, soil and water

2. Identify how electromagnetic energy reflected or emitted from materials are recorded using a variety of remote sensing instruments

3. Explain the nature of geometric and radiometric error and how to correct or minimise these distortions in remotely sensed imagery

4. Explain appropriate field sampling techniques to assist in image interpretation and analysis of results

5. Extract land-cover information from remotely sensed data and describe the nature of both unsupervised and supervised classification methodology

6. Demonstrate the use of professional image processing for visualisation, geometric correction and inquiry of remotely sensed data

7. Produce a research report in accordance with good scholarly practice at a postgraduate level.