Filling Cloud Gaps in Satellite AOD Retrievals Using an LSTM CNN-Autoencoder Model (Conference Paper) | NSF PAGES

skip to main content

Attention:

The NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 11:00 PM ET on Thursday, October 10 until 2:00 AM ET on Friday, October 11 due to maintenance. We apologize for the inconvenience.

Citation Details

Filling Cloud Gaps in Satellite AOD Retrievals Using an LSTM CNN-Autoencoder Model

Award ID(s):: 2117505

NSF-PAR ID:: 10420156

Author(s) / Creator(s):: Daniels, Jacob; Bailey, Colleen P.; Liang, Lu

Date Published:: 2022-01-01

Journal Name:: Proceedings of International Geoscience and Remote Sensing Symposium

Page Range / eLocation ID:: 2758 to 2761

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Conference Paper:
https://doi.org/10.1109/IGARSS46834.2022.9884482