Using Artificial Intelligence to Analyze Satellite Earth Observations


Description:

This session features applications of AI to analyzing satellite Earth Observation data.


Papers:
Leveraging Machine Learning to Exploit SmallSats
Hui Christophersen, NRL, Monterey, CA; and D. Sidoti, B. Campbell, PhD, and E. Satterfield

Detecting and Tracking Iceberg A-76A from VIIRS Observations with U-Net Deep Learning Model
Tiancheng Steven Shao, Montgomery Blair High School, Silver Spring, MD; and B. Zhang, S. Uprety, and J. Dong

Retrieving 3D cloud radar reflectivity from MODIS cloud products based on CGAN
Yubao Liu, NUIST, Nanjing, Jiangsu, China; Nanjing University of Information and Science Technology, Nanjing, CO, China; and F. Wang, Y. Zhou, Y. Qin, and H. Fan

Bridging the Scale Gap: Machine Learning for Urban Heat Island Modeling and Mitigation
Firas Gerges, Princeton University, Princeton, NJ; and A. B. Dieng and E. Bou-Zeid

Submission Deadline: Thursday, 31 August 2023



See more of: 23rd Conference on Artificial Intelligence for Environmental Science
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