Title:
AI Workshop – Leveraging AI in Environmental Science –
Session 30: AI/ML for Environmental Data, Image, and Signal Processing, Part 5 Chairs: TBD

Presenter(s):
Mapping Arctic Vegetation using Hyperspectral Airborne Remote Sensing Data – Forrest M. Hoffman (Oak Ridge National Laboratory)

RU-net for precipitation retrieval from passive microwave observations – Yeji Choi (SI Analytics)

A spatiotemporal quantification of the relative importance of indicator inputs for drought estimation – Soni Yatheendradas (UMD/ESSIC & NASA/GSFC)

Development of a Machine Learning-Based Radiometric Bias Correction for NOAA’s Microwave Integrated Retrieval System (MiRS) – Yan Zhou (UMD/ESSIC/CISESS)

Radar Reflectivity Surface Rainfall Retrieval with cGAN Algorithm: An Idealized Study – Shujia Zhou (NASA GSFC)

Sponsor(s):

AI Workshop Science Committee:
https://www.star.nesdis.noaa.gov/star/meeting_2020AIWorkshop.php
Seminar Contact: Stacy Bunin, Stacy.Bunin@noaa.gov

Remote Access:
Please register at:
https://attendee.gotowebinar.com/register/5615369022101186832Recordings:
Recordings will be posted at:
https://www.star.nesdis.noaa.gov/star/meeting_2020AIWorkshop_agenda.php
usually the day after the session.

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