A Deep-Learning-Based Microwave Radiative Transfer Emulator for Data Assimilation and Remote Sensing-Reference-Cited by-同舟云学术

A Deep-Learning-Based Microwave Radiative Transfer Emulator for Data Assimilation and Remote Sensing

Published:2022 Issue: Volume:15 Page:8819-8833
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liang Xingming¹^ORCID,Garrett Kevin²,Liu Quanhua²^ORCID,Maddy Eric S.³^ORCID,Ide Kayo⁴^ORCID,Boukabara Sid⁵^ORCID

Affiliation:

1. CISESS, University of Maryland, College Park, MD, USA

2. Center for Satellite Applications and Research, National Environmental Satellite Data, and Information Service (NESDIS), NOAA, College Park, MD, USA

3. Riverside Technology Inc., College Park, MD, USA

4. University of Maryland, College Park, MD, USA

5. The Office of Systems Architecture and Advanced Planning, NESDIS, NOAA, College Park, MD, USA

Funder

National Oceanic and Atmospheric Administration

Cooperative Institute for Satellite Earth System Studies at the Earth System Science Interdisciplinary Center

University of Maryland/ESSIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09909997.pdf?arnumber=9909997

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