NOAA CoastWatch Great Lakes Node
NOAA Satellite Remote Sensing Data Training Course
Great Lakes Environmental Research Laboratory, Ann Arbor, MI
November 5-7, 2019
A 2½ day training course focusing on:
- Introduction to Coastwatch data products and the Coastwatch dataservers
- Image processing tools (ArcGIS, R, Python and Coastwatch Utilities)
- Applications (CPA, ICE, Hyperspectral Imagery and Altimetry/winds)
- Project-based learning in a group setting
Register for the course
CoastWatch Great Lakes Node/Great Lakes Environmental Research Laboratory will hold a
satellite remote sensing data training course in project-based learning environment.
Participants with interests in satellite remote sensing data
are welcome to apply.
Participants will need to bring your own laptop to the class, with the software loaded
that you normally use for data analysis (e.g., R, ArcGIS, Python).
Also, additional software to view and work with data will be provided ahead of the
class via download for all participants.
Participants will need to bring a project idea
for a project you would like to work on during the hands-on lab portion
of the class. The more relevant the project to your own work, the more
you will get out of the class.
- Course Fee: There is no financial fee to attend this course.
Participants are required to provide a PowerPoint slide indicating the results of their class project at the completion of the course.
These slides have been crucial for obtaining
support for these courses, and for allowing NOAA management to demonstrate the
importance of the public's investment in satellite data.
- Class size is limited to 30 participants, Selected participants will be notified within 10 days of registration deadline.
- Registration deadline: September, 6, 2019
- The class will be held at NOAA Great Lakes Environmental Research Laboratory,
4840 S. State St., Ann Arbor, MI. Our contact info can be found
For questions email firstname.lastname@example.org, 734-741-2349
Check back for the finalized class agenda based on user needs for data image processing tools.