Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Ding, Yinghui, Qu, Ying, Peng, Zeli, Wang, Mengsi, Li, Xijia
Other Authors: National Key Research and Development Program of China, National Natural Science Foundation of China
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Subjects:
Online Access:http://dx.doi.org/10.1109/tgrs.2022.3202046
http://xplorestaging.ieee.org/ielx7/36/9633014/09868074.pdf?arnumber=9868074
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spelling crieeecr:10.1109/tgrs.2022.3202046 2024-05-19T07:27:43+00:00 Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds Ding, Yinghui Qu, Ying Peng, Zeli Wang, Mengsi Li, Xijia National Key Research and Development Program of China National Natural Science Foundation of China 2022 http://dx.doi.org/10.1109/tgrs.2022.3202046 http://xplorestaging.ieee.org/ielx7/36/9633014/09868074.pdf?arnumber=9868074 unknown Institute of Electrical and Electronics Engineers (IEEE) https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 IEEE Transactions on Geoscience and Remote Sensing volume 60, page 1-17 ISSN 0196-2892 1558-0644 journal-article 2022 crieeecr https://doi.org/10.1109/tgrs.2022.3202046 2024-04-25T06:54:10Z Article in Journal/Newspaper albedo Arctic Sea ice IEEE Publications IEEE Transactions on Geoscience and Remote Sensing 60 1 17
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 National Key Research and Development Program of China
National Natural Science Foundation of China
format Article in Journal/Newspaper
author Ding, Yinghui
Qu, Ying
Peng, Zeli
Wang, Mengsi
Li, Xijia
spellingShingle Ding, Yinghui
Qu, Ying
Peng, Zeli
Wang, Mengsi
Li, Xijia
Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
author_facet Ding, Yinghui
Qu, Ying
Peng, Zeli
Wang, Mengsi
Li, Xijia
author_sort Ding, Yinghui
title Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
title_short Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
title_full Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
title_fullStr Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
title_full_unstemmed Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds
title_sort estimating surface albedo of arctic sea ice using an ensemble back-propagation neural network: toward a better consideration of reflectance anisotropy and melt ponds
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2022
url http://dx.doi.org/10.1109/tgrs.2022.3202046
http://xplorestaging.ieee.org/ielx7/36/9633014/09868074.pdf?arnumber=9868074
genre albedo
Arctic
Sea ice
genre_facet albedo
Arctic
Sea ice
op_source IEEE Transactions on Geoscience and Remote Sensing
volume 60, page 1-17
ISSN 0196-2892 1558-0644
op_rights https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
op_doi https://doi.org/10.1109/tgrs.2022.3202046
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 60
container_start_page 1
op_container_end_page 17
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