Remote Sensing
Geography 470
Syllabus

Topics: (and readings)
• Course Outline. RS, GIS & Cart. Basic Idea. Background Survey.
• Digital data sources & characteristics. Basic file structure. RJ ch1
• Qualitative image interpretation principles review. LK ch3(&4) RJ ch3
• Lab:Basic's to explore and view image files. Qualitative interpretation.
• Electromagnetic energy. Atmospheric effects. Energy-Matter Interaction. LK 1-23 RJ ch 2
• Error Correction and Image Registration RJ ch2
• Lab: Image registration.
• Radiometric Enhancement RJ ch4
  Lab: Image Histograms. Radiometric & Contrast Enhancement.
• Geometric Enhancement RJ ch5
  Lab: Ortho package(?)
• Multispectral Data and Transformations RJ ch6 LK 352-426
  Lab: Multispectral image analysis - band ratioing, NDVI, etc.
• Supervised classification. RJ ch8
  Lab: Supervised classification.
• Clustering and Unsupervised classification. RJ ch9
  Lab: Unsupervised classification.
• Feature Reduction. RJ 10
• Image Classification Methodologies. RJ ch11
• Data Fusion and Integration RJ ch12
  Lab: Scripting and modelling.
• Texture analysis.
• Shape indices and Object recognition.
• Hyperspectral Data. RJ ch 13
  Lab: Hyperspectral data
• Recent politics of RS in the US.
• Summary. Evaluation & debriefing.

Important Dates
1. Survey paper due: (wk6)
2. Mid-term exam: (wk8)
3. Term project/paper: topic & outline: (wk10)
4. Term project/paper: draft (wk14)
5. Term project/paper: final (wk16)
6. Final Exam: as per university schedule