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Geog 2021 Environmental Remote Sensing
GEOG2021 Environmental Remote Sensing
##Course Tutors
Department of Geography
University College London
[Educational Aims and Objectives of the Course] [Course workload and assessment] [Timetable 2015-16] [[Reading List](#Reading List)] [How to run the practicals elsewhere]
####Educational Aims and Objectives of the Course
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)
- Lay the foundations for the third year course on Earth Observation
####Course workload and assessment
#####Expected Course Load
| Component | Hours |
|---|---|
| Lectures | 8 |
| Private Reading | 80 |
| Supervised Laboratory Work (Computing) | 24 |
| Independent Laboratory Work (Computing) | 20 |
| Required Written Work | 10 |
| TOTAL | 142 |
Usual range 100-150 for 1/2 course unit
#####Assessment
- 100% Assessed Practical (3500 words) - submission date standard 2nd year submission date i.e. Weds 23th March 2016 (12 noon).
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)
####Timetable 2014-15
| Monday 09:00-10:00 | Thursday 11:00-12:00 | Thursday 12:00-13:00 | |
|---|---|---|---|
| Week 1 | 09/1/17 LECTURE 1 Introduction to course; Environmental Remote Sensing | 14/1/16 COMPUTING 1 Introductory Computing | 14/1/16 COMPUTING 2 Image Display |
| Week 2 | 18/1/16 LECTURE 2 Image Display and Enhancement | 21/1/16 COMPUTING 2 Data download | 21/1/16 COMPUTING 2 Image Display |
| Week 3 | 25/1/16 LECTURE 3 Spatial Information | 28/1/16 COMPUTING 2 Spatial Filtering | 28/1/16 COMPUTING 2 Spatial Filtering |
| Week 4 | 01/2/16 LECTURE 4 Image Classification | 04/2/16 COMPUTING 3 Classification | 04/2/16 COMPUTING 3 Classification |
| Week 5 | 08/2/16 LECTURE 5 Spectral Information | 11/2/16 COMPUTING 3 Classification | 11/2/16 COMPUTING 3 Classification |
| Week 6 | READING WEEK | READING WEEK | READING WEEK |
| Week 7 | 22/2/16 LECTURE 6 Environmental Modelling: I | 25/2/16 COMPUTING 4 Project | 25/2/16 COMPUTING 4 Project |
| Week 8 | 29/2/16 LECTURE 6 Environmental Modelling: II | 03/3/16 COMPUTING 4 Project | |
| Week 9 | 07/3/16 COMPUTING 4 Project | 10/3/16 COMPUTING 4 Project | |
| Week 10 | 14/3/15 PROJECT DISCUSSIONS (Physics A1/3) | 17/3/16 COMPUTING 4 Project | 17/3/16 COMPUTING 4 Project |
| Week 11 | 21/3/16 Project | ||
| Topic Revision Notes |
Lectures in (Physics A1/3 (4th floor))
Computing in Pearson Building, UNIX Computer lab, PB 110a
####Reading List
- Jensen, John R. (2006) Remote Sensing 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
####How to run the practicals elsewhere
You can download all of the notes and practicals from this site.
To run the practicals, you will need access to ENVI and the datasets associated with each practical.
Note that installing IDL/Envi is likely to take around 2.5 GB of space.
If you download ENVI, make sure you also download the license file. If you install ENVI on your own computer, make sure you follow the instructions on setting up the license server after downloading the software and license file from the UCL software database.
You can also run the practicals using desktop@UCL Anywhere
profLewis