GEOG6087 Practical Skills in Remote Sensing
The emphasis is on data collected in the optical and thermal regions using passive and active sensors.
Aims and Objectives
To provide Level 6 students with the scientific understanding and the technical skills necessary to process a wide range of remotely sensed data from aircraft and satellite sensors. This is important both to support their project work and because such skills are in high demand in professional practice.
Having successfully completed this module you will be able to:
- You will understand the important principles of remote sensing, including sensor types and missions
- You will understand the need for image pre-processing and will be able to assess the pros and cons of different methods
- You will understand the use of remote sensing data in biophysical and biochemical product generation
- You will be confident in your use of the ENVI image processing package to apply routine pre-processing and image analysis steps in a rigorous and self-reflective manner
- You will have developed your skills in critical assessment of published papers, particularly their choice of image pre-processing and processing methods.
1- Spectral measurements in the field and the laboratory and their relationship to biophysical variables. 2- Derivation of biophysical variables from satellite data 3- Calibration and pre-processing of image data. 4- Image processing methods 5- Hyperspectral remote sensing 6- Analysis of time series of remote sensing data 7- Application areas of RS data
The module includes field demonstrations of equipment and methods, but these will take place on campus, and will thus be accessible to all students.
Learning and Teaching
Teaching and learning methods
The module will be taught through small group lectures, supplemented by hands-on practicals and personal study.
|Total study time||150|
Resources & Reading list
Online Materials. There is no set book for this module. Students will be provided with reading lists and URLs via Blackboard.
Repeat type: Internal & External