Course convenor, but not teaching this year. Prof. P. Lewis
Department of Geography
University College London
[Educational Aims and Objectives of the Course] [Course workload and assessment] [Timetable 2021-22] [Reading List]
To enable the students to:
- Understand the nature of remote sensing data and how they are acquired
- Understand different types of remote sensing instruments and their missions
- Understand basic image representation and processing
- Understand how Earth Observation data can be combined with other sources of data and data techniques (e.g. GIS)
- Understand how EO data can be used in environmental science (particularly via classification and monitoring)
- Develop practical skills in these areas, which may be useful in planning of dissertations
- Develop links with the second year course on Geographic Information Systems Science and with othet courses as appropriate (e.g. hydrology, environmental systems)
| Component | Hours |
|---|---|
| Lectures | 10 |
| Private Reading | 80 |
| Supervised Laboratory Work (Computing) | 20 |
| Independent Laboratory Work (Computing) | 20 |
| Required Written Work | 10 |
| TOTAL | 140 |
Usual range 100-150 for 1/2 course unit
- 100% Assessed Practical (3500 words) - submission date standard 2nd year submission date i.e. Mon 26th April 2021 (12 noon).
- For details of the coursework, please see https://github.com/UCL-EO/GEOG0027_Coursework/tree/2020-2021 or READ-ONLY VERSION at ReadTheDocs
N.B.
- Penalties for late submission and over length WILL be applied
- Different arrangements for JYA/Socrates (make sure you inform the lecturers if this affects you)
| Monday Lecture 11:00-12:00 | Thursday Practical 09:00-11:00 | |
|---|---|---|
| Week 1 | LECTURE 1 Introduction to course | 13/1/2022 COMPUTING 1 Image Display |
| Week 2 | LECTURE 2 Image Display and Enhancement | 20/1/2022 DOWNLOAD Data download |
| Week 3 | LECTURE 3 Spatial Information | 27/1/2022 COMPUTING 2 Spatial Filtering |
| Week 4 | LECTURE 4 Image Classification | 3/2/2022 COMPUTING 3 Classification |
| Week 5 | LECTURE 5 Spectral Information | 10/2/2022 COMPUTING 3 Classification |
| Week 6 | READING WEEK | READING WEEK |
| Week 7 | LECTURE 6 Environmental Modelling: I | 24/2/2022 COMPUTING 4 Project |
| Week 8 | LECTURE 7 Environmental Modelling: II | 3/3/2022 COMPUTING 4 Project |
| Week 9 | 7/3/2021 COMPUTING 4 Project | 10/3/2021 COMPUTING 4 Project |
| Week 10 | 14/3/2021 COMPUTING 4 Project | 17/3/2021 COMPUTING 4 Project |
| Week 11 | 21/3/2021 COMPUTING 4 Project | 24/3/2021 COMPUTING 4 Project |
Assuming we remain with face-to-face teaching this term, Monday sessions are in Cruciform B304-LT1 and Thursday practical sessions will be in North West Wing Room 110 ('Unix lab').
If teaching shifts to online at because of covid, need to access a Virtual UCL PC during the live sessions through UCL Desktop Anywhere (see help info at https://www.ucl.ac.uk/isd/how-to/how-to-log-to-virtual-teaching-pc).
ENVI 5.5.3 is available to registered students through Virtual UCL PCs during the live sessions via UCL Desktop Anywhere (see help info at https://www.ucl.ac.uk/isd/how-to/how-to-log-to-virtual-teaching-pc).
For ad-hoc use of ENVI software outside of the live hours, it can be accessed from UCL Desktop Anywhere. We will use the ENVI 5.5.3 (not ENVI Classic 5.5.3) version for the guided practicals before half term, and then ENVI 5.5.3 with IDL for the assessed coursework project. Additionally, you can install ENVI on your personal computer with a UCL license (http://swdb.ucl.ac.uk/package/view/id/142?filter=envi). However, support might be limited from the teaching staff. Thus, we recommend using Desktop@UCL during the term time for best support and accessibility.
- Jensen, John R. (2006) Remote iSensing of the Environment: an Earth Resources Perspective, Hall and Prentice, New Jersey, 2nd ed.
- Jensen, John R. (1995, 2004) Introductory Digital Image Processing: A Remote Sensing Perspective (Prentice Hall Series in Geographic Information Science)
- Jones, H. G and Vaughan, R. A. (2010) Remote Sensing of Vegetation, OUP, Oxford.
- Lillesand, T., Kiefer, R. and Chipman, J. (2004) Remote Sensing and Image Interpretation. John Wiley and Sons, NY, 5th ed.
- Mather, P. (2004) Computer processing of remotely sensed images: an introduction