The UASPSE team (NSF-funded BDSpokes project in Digital Agriculture) is excited to announce our first webinar beginning a monthly webinar series on the analysis of Unmanned Aerial Systems data.

Unmanned aerial systems (UAS) are excellent sensor deployment packages that are contributing to the data deluge in many fields such as agriculture, ecology and smart cities/infrastructure. Optical, infrared, LIDAR, multispectral and other sensor packages can provide data on scales impossible for humans to quickly and accurately analyze, leading to significant challenges in many fields wishing to operationally utilize UAS. This webinar series will feature speakers from academia and industry to discuss and introduce participants to UAS data analysis software and algorithms, metadata standards, and best practices, with a goal of harmonizing UAS data access, reproducibility and reuse across institutions and industry.

Presenters:

Developing an Open UAS Repository

Travis Desell, Ph.D., Associate Professor of Computer Science

In conjunction with feedback from participants in the NSF BDSPOKES Unmanned Aerial Systems, Plant Sciences and Education, Dr. Desell has been developing an web based repository for securely and quickly viewing large scale imagery gathered from unmanned aerial systems. The system also allows for the easy markup of imagery and sharing mosaics with your team. Feedback on the system is welcome so that it can become a valuable tool for the digital agriculture community.

Data Driven Autonomous Systems and Controls

Prakash Ranganathan, Ph.D., Assistant Professor of Computer Science

In this presentation, Dr. Ranganathan will discuss challenges on the nexus of control, data, and processes for next-generation autonomous systems. The talk will focus on emerging areas such as UAS swarm technologies, and UAS cyber-security challenges. Dr. Ranganathan will share his recent project results on heat-loss quantification from thermal imagery data sets obtained from UAS. If time permits, Dr. Ranganathan will discuss the role of data-driven technologies in smart grid applications.

CALS will host a group viewing of the webinar in Curtiss Hall Room 0008. All ISU faculty, staff, and students, and other interested individuals are welcome to attend. Please RSVP to Carla Persaud (cpersaud@iastate.edu) if you plan to join the group viewing.

Individuals can also link directly to the webinar via Zoom. See the Unmanning Data Mondays webpage for full information about this webinar and the series.