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
- Map Composition

- Introduction and Data Types
- what is a GIS?
- what a GIS does
- extends "research" to the real world
- a GIS is not....
- course goals
- GIS components
- 3 types of data
- Spatial data types
- raster vs. vector
- topology

- Maps: Projections and Datums
- Where did you say you were calling from?
- Projections create distortion
- Spheriods
- Datums fix the zeros
- UTM

- Digital Terrain Analyses
- Data sources and DEMs, TINs, DLGs, DTMs (geez, english please)
- manipulating and moving between DTMs
- map slope, aspect, & curvature
- profiles and viewsheds
- perspectives and shaded relief .
- Watershed Analyses

- Modeling and Algorithms
- spatial modeling
- thinking through an anlysis using an algorithm

- Spatial Overlays and Querying
- simplification
- overlay complexity
- reclassification
- types of combinations
- boolean logic
- querying theme tables and vector "spatial arithmetic"
- Overlay querying (hindcasting or inverse modeling)
- Location-related calculations
- Buffers
- "Rubber rulers" (dynamically-scaled buffers)
- Friction/Least Cost Paths
- Simplification and "clumping"
- Proximity and "near"ness
- Density
- Neighborhood Analyses
- Shape Analyses
- Fuzzy Logic: Fuzzy Sets, Conditional Inclusion and Bayes Theorem
- Remote Sensing Data
- Image Processing
- Image Classification
- general principles
- simple discriminants
- unsupervised classification
- supervised classification
- transferring a supervised classificaiton
- using classification

- GPS / GNSS (global positioning system / Global Navigation Satellite System)
- Map Composition