Instructor: Brian Klinkenberg

Office: Room 209
Office hours: Tues 12:30-1:30
Wed 12:00-1:00

TAs: Katie De Rego and Leo King

Office hours in Room 115
Katie: Thur @ 9:00
Leo: Mon @ 10:00

Lab Help: Jose Aparicio

Office: Room 240D

Computer Lab: Rm 115

 

 

Project Marking Scheme (/50)

Overall presentation, organization and grammar (6)

Abstract:

  • Summary of the purpose is clear and concise (2)
  • Summary of findings is clear and important results are included (2)

Introduction:

  • Area description – location & dominant land cover types (3)
  • Imagery & sensor description – resolution (spectral & spatial), applications, sensor (3)
  • Colour composite – appropriate & correct display w. all map elements (2)
  • Description of colour composite – bands used (λ), features highlighted (2)

Analysis:

Unsupervised classification:

  • Histogram (1)
  • Second CLUSTER image – classes &  map elements (3)
  • ISOCLUST image – classes & map elements (2)
  • Discussion: (5)
    • Comment on the ability of the unsupervised classification procedure to identify land cover types.
    • Compare and contrast the output of CLUSTER and ISOCLUST.
    • Highlight areas of successful and failed classification.

Supervised classification:

  • Training site image – appropriate delineation & all map elements (2)
  • SIGCOMP figure and a comment on the spectral separability of the classes. (3)
  • Justify method choice and include a description of the chosen statistical technique. (3)
  • Supervised classification image – legend & all other map elements (1)
  • Discussion: (3)
    • Comment on the ability of the supervised classification procedure to identify land cover types.
    • Highlight areas of successful and failed classification.

Conclusion:

  • Success of classification efforts? (3)
    • What land cover types are clearly identified? Areas of misclassification?
  • Recommendations: (4)
    • What classification routine would you recommend for land cover identification?
    • How could land cover identification be improved?