GEO211 Applied Remote Sensing

Level 2/3
Credits 10
Availability Approved for BA Geography; BSc Geography; Environmental Science; Geography & Planning
Semester Autumn
Prerequisite GEO162 (GEO161 2013/14 onwards)
Description Remote Sensing (RS) refers to the science of identification of earth surface features and estimation of their geo-biophysical properties through the detection of electromagnetic radiation. RS data are a key component in our understanding of global processes, as they: (1) provide a unique perspective from which to observe large regions, (2) are able to measure energy at wavelengths which are beyond the range of human vision, and (3) can provide repetitive coverage with calibrated sensors to detect change. This course provides instruction and practical experience in basic RS data collection, processing and use. Important geographical applications of RS data are introduced, including: land cover mapping, LiDAR, aerosol remote sensing (mineral and volcanic), thermal remote sensing and SAR/InSAR. Some prior knowledge of RS systems is assumed.
Aims
  1. To introduce remote sensing as an important enabling tool for earth surface research problems and applications.
  2. To examine the basics of remote sensing and the main satellite/sensor systems in use.
  3. To provide practical experience of remote sensing applications (Lab-based).
Learning Outcomes By the end of the module, a student will be able to demonstrate:
  1. An understanding of the basic physical principals underpinning the collection and use of a wide range of RS data types
  2. Knowledge of basic processing methods and output data-types derived from RS data using industry-standard software
  3. An understanding of key application of RS data for regional/global monitoring.
Outline Contents
  1. The RS Approach, energy matter/atmosphere interactions, turning numbers into data
  2. Applications in the VNIR (eg Land cover mapping/change, LiDAR)
  3. Applications in the UV (eg mineral and volcanic aerosols)
  4. Applications in the TIR (eg water and SST)
  5. Applications in the Microwave (eg SAR/InSAR)
Delivery Methods 13 x 1-hour lectures, 6 x 1.5 hour computer-based practicals
Student Contact Hours 22
Supporting Texts
  • Lillesand, T.M. & Kiefer, R.W. (2007) Remote Sensing and Image Interpretation (5th Edition)
  • Campbell J.B. & Wynne, R.H. (2011) Introduction to Remote Sensing (5th edition)
Assessment Methods 1.5-hour examination, (67%), Lab report (33%)
Staffing
(convenor underlined)
Dr Rob Bryant, Dr Andrew McGonigle
 

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