GIS and Remote Sensing Lecture Notes

• Introduction and Data Types
• Maps: Projections and Datums
• Digital Terrain Analysis
• Spatial Overlays and Querying
• Location-related calculations
• Neighborhood Analyses
• Shape Analyses
• Fuzzy Logic
• Remote Sensing Data
• Image Processing
• Image Classification
• GPS and remote data collection

1. Introduction and Data Types
   1. what is a GIS?
   2. what a GIS does
   3. extends "research" to the real world
   4. a GIS is not....
   5. course goals
   6. GIS components
   7. 3 types of data
   8. Spatial data types
   9. raster vs. vector
   10. topology
   11. thinking out an anlysis with an algorithm
2. Maps: Projections and Datums
   1. Where did you say you were calling from?
   2. Projections create distortion
   3. Spheriods
   4. Datums fix the zeros
   5. UTM
3. Digital Terrain Analyses
   1. Data sources and DEMs, TINs, DLGs, DTMs  (geez, english please)
   2. manipulating and moving between DTMs
   3. map slope, aspect,  & curvature
   4. profiles and viewsheds
   5. perspectives and shaded relief .
   6. Watershed Analyses
4. Spatial Overlays and Querying
1. simplification
2. overlay complexity
3. boolean logic
4. types of combinations
5. querying theme tables and vector "spatial arithmetic"
6. Overlay querying (hindcasting or inverse modeling)
5. Location-related calculations
1. Buffers
2. "Rubber rulers" (dynamically-scaled buffers)
3. Friction/Least Cost Paths
4. Simplification and "clumping"
6. Neighborhood Analyses
   1. Density
   2. Proximity
   3. Filters
   4. surface creation
7. Shape Analyses
   1. Lines; length, azimuth, siusosity
   2. Patch size, shape, connectivity
8. Fuzzy Logic: Fuzzy Sets, Conditional Inclusion and Bayes Theorem
1. A "fuzzy" boundary
2. Fuzzy Inclusion set using distance data
3. Bayesian Probability Modeling
9. Using GIS--what good is it...
   1. case studies 1
10. Remote Sensing Data
    1. The electormagnetic spectrum and what satellites "see"
    2. Sensor Types
    3. Landsat Thematic Mapper
    4. LIDAR
11. Image Processing
    1. Enhancement and Visualization
    2. Atmospheric Correction
    3. Ratios
    4. RGB images
    5. decorrelation
    6. Principal Component Analysis
    7. geolocating images
    8. other enhancements
12. Image Classification
    1. general principles
    2. simple discriminants
    3. unsupervised classification
    4. supervised classification
    5. transferring a supervised classificaiton
    6. using classification
13. GPS System
    1. The System
    2. Receivers and measurements

link to remote sensing outline (old)