A data-driven multi-scale phytotechnology framework for identification and remediation of leached-metals-contaminated soil near coal ash impoundments

Topic

• Computer Vision

Grant

• Sponsor: Department of Energy (DOE)
• Year: 2022
• Total: $400,000
• Share: $196,523

Objective

• Leveraging satellite and historical data for cost-efficient vegetation abnormality detection.

Team

• PI: B. Nojabaei, Co-PI’s: H. Eldardiry, H. Foroutan, and R. Stewart