Print

Print


*Message sent from a system outside of UConn.*

FEMA Drone Training Course @ UVM, Summer 2023

Please fill out this form if you are interested -  https://forms.office.com/r/nT0h1YFQKA

 

The University of Vermont (UVM) is hosting FEMA's introductory Unoccupied Aircraft Systems (UAS or drones) courses in the summer of 2023. There are two identical sessions (June 13-14 & June 27-28), each consisting of two days of training. The sessions are identical, and thus, participants should attend only one session for both days

These courses are offered at no charge to first responders and those who participate in emergency management or disaster response and recovery functions. Travel, lodging, and meals are all covered. The courses assume no prior UAS experience. Participants should feel comfortable using computers and tablets. Space is limited.

 

AWR-422: UAS Flight Operations for Emergency Response (Day 1) is a 1-day, in-person course that will prepare first responders with technical resources, knowledge, and experience to deploy UAS for a variety of emergency response scenarios. Content will cover rules and regulations, mission planning, airspace coordination, platform and sensor selection, risk assessment and mitigation, flight operations, data collection, and metadata retention.

PER-407: UAS Data Analytics for Emergency Response (Day 2) is a 1-day, in-person, instructor-led course on how to effectively organize, generate, analyze, and rapidly disseminate geospatial data from UAS data. Course content will cover how to transform UAS imagery, video, and other data into products that can be used to support decision-making, damage assessment, and other mission-critical tasks for emergency response.

 

 

--

Jarlath O’Neil-Dunne

Director, Spatial Analysis Laboratory

University of Vermont | USDA Forest Service R&D

 

------------------------------------------------------------------------- This list (NEARC-L) is an unmoderated discussion list for all NEARC Users.

If you no longer wish to receive e-mail from this list, you can remove yourself by going to http://s.uconn.edu/nearcsubscribe.