Imagery, Automation, and Applications

Description: 

This course teach shows participants how to complete technical tasks such raster calculations and suitability analysis. In this class participants will become comfortable with spatial analysis and applications within GIS during four week-long modules:

  • Week 1: Participants will learn all about remotely sensed and satellite imagery and be introduced to the electromagnetic spectrum. At the end of this week, participants will be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification.
  • Week 2: Participants will learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables and a new set of tools. Participants will also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics and ArcGIS Pro.
  • Week 3: In week three, participants will make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. participants will also go through a few common algorithms including a very important one: the suitability analysis.
  • Week 4: Participants will begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values and Point Density to create a density surface. Finally, participants will wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own.

​Participants can choose to take Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization.

 

Date: 

26/04/2019

Registration Deadline: 

Friday, April 26, 2019

Target Audience: 

Intermediate Level. At least 2 years experience, comfortable doing data analysis, and fundamental grasp of GIS concepts.

Event Organisers: 

UC Davis University of California

Co-organisers: 

Coursera, Esri 

Language of event: 

English

Training type: 

web-based
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