Section: Raster data and imagery | Geospatial Models and Representations | Z_GIS

Section: Raster data and imagery | Geospatial Models and Representations | Z_GIS

Main course page

General
- Introduction Forum
- Development feedback Forum
  
  Please post all suggestions and corrections for this module. Refer to specific sections whenever your posting applies to content of a specific section.
- Learning Objectives (module level)
  
  describe basic approaches to digitally representing real world features
  
  work with increasing abstraction levels of data models with a focus on the ANSI-SPARC conceptual level
  
  select adequate vector and/or raster representations depending on theme characteristics
  
  distinguish and apply standard W*S services with an emphasis on open data / services
  
  understand architectures and purpose of Spatial Data Infrastructures and their main components
  
  integrate standard services into simple web apps

Raster data and imagery

Raster data and imagery
- Learning Objectives
  
  describe the distinction between imagery and thematic raster data, as well as spatially continuous vs. discrete themes
  
  manage the conversion of vector (feature) data into raster representations
  
  select correct approaches to resampling
  
  understand spatial referencing and resolution characteristics of raster data
- Section overview
  
  Pop out | Video
- UCGIS BoK: The Raster Data Model URL
  
  An overview lecture. Should be used as a quick read, no need to dig deeper e.g. into file formats.
- Self assessment questions Page
- Section quiz
- Activities: Page
  
  Tasks to complete this section
- Assessment: Page
  
  Check out these questions and exercises