Session 16B Artificial Intelligence for Environmental Science III

Thursday, 1 February 2024: 4:30 PM-6:00 PM
338 (The Baltimore Convention Center)
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Cochairs:
Philippe E. Tissot; Rob Redmon and Ryan Lagerquist

Papers:
4:30 PM
16B.1
NOAA Operational Air Quality Forecasting Guidance - Using Artificial Intelligence to Achieve Faster and Adaptive AQ Forecasting
Jennifer Sleeman, APL, Laurel, MD; and I. Stajner, C. Ribaudo, D. Chung, C. Ashcraft, R. Chen, C. Tang, C. Kofroth, Q. H. Dang, M. Halem, K. Wang, J. Huang, H. C. Huang, R. Montuoro, C. A. Keller, J. M. Wilczak, I. V. Djalalova, J. McQueen, B. Baker, V. Krasnopolsky, W. Putman, and M. Hughes

4:45 PM
16B.2
Machine Learning for Predicting Air Quality Using Land Images
Jing Wang, Princeton University, Princeton, NJ; and F. Gerges and E. Bou-Zeid

5:00 PM
16B.3
Generalized Visibility Estimation from Camera Images Using Deep Learning
Melissa Wilson Reyes, University of Oklahoma, Norman, OK; and A. Kurbanovas, A. H. Fagg, C. D. Thorncroft, K. J. Sulia, and J. Brotzge

5:15 PM
16B.4
Machine Learning applied to Urban Heat Island Intensity prediction at the Metropolitan Region of Sao Paulo, Brazil
Pedro Luis B. Almeida, University of Sao Paulo, São Paulo, SP, Brazil; and F. N. D. Ribeiro

5:30 PM
16B.5
Automated Treefall Detection using Zero-Shot Deep Learning
Elizabeth Tirone, CIMMS, Norman, OK; NSSL, Norman, OK; and M. A. Wagner, Z. Chen, D. Candela, E. Rasmussen, and M. C. Coniglio

5:45 PM
16B.6
Flood Detection and Mapping Through Sensor Fusion: A Comparative Study of Multi-Sensor Data Integration with UAV Optical Imagery
Mulham Fawakherji, north carolina agricultural and technical state university, Greensboro, NC; and L. Hashemi Beni

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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