The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Saberi, Nastaran, Kelly, Richard, Pan, Jinmei, Durand, Michael, Goh, Joslin, Scott, K. Andrea
Other Authors: Japan Aerospace Exploration Agency through the GCOM-W1/AMSR2 Project, National Science and Engineering Research Council of Canada, Environment Canada as part of the PAMARCMIP 2011 Campaign
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Subjects:
Tundra
Online Access:http://dx.doi.org/10.1109/tgrs.2020.3004594
http://xplorestaging.ieee.org/ielx7/36/9363036/09138727.pdf?arnumber=9138727
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spelling crieeecr:10.1109/tgrs.2020.3004594 2024-06-16T07:43:34+00:00 The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow Saberi, Nastaran Kelly, Richard Pan, Jinmei Durand, Michael Goh, Joslin Scott, K. Andrea Japan Aerospace Exploration Agency through the GCOM-W1/AMSR2 Project National Science and Engineering Research Council of Canada Environment Canada as part of the PAMARCMIP 2011 Campaign 2021 http://dx.doi.org/10.1109/tgrs.2020.3004594 http://xplorestaging.ieee.org/ielx7/36/9363036/09138727.pdf?arnumber=9138727 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 59, issue 3, page 1876-1889 ISSN 0196-2892 1558-0644 journal-article 2021 crieeecr https://doi.org/10.1109/tgrs.2020.3004594 2024-05-17T13:11:47Z Article in Journal/Newspaper Tundra IEEE Publications IEEE Transactions on Geoscience and Remote Sensing 59 3 1876 1889
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 Japan Aerospace Exploration Agency through the GCOM-W1/AMSR2 Project
National Science and Engineering Research Council of Canada
Environment Canada as part of the PAMARCMIP 2011 Campaign
format Article in Journal/Newspaper
author Saberi, Nastaran
Kelly, Richard
Pan, Jinmei
Durand, Michael
Goh, Joslin
Scott, K. Andrea
spellingShingle Saberi, Nastaran
Kelly, Richard
Pan, Jinmei
Durand, Michael
Goh, Joslin
Scott, K. Andrea
The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
author_facet Saberi, Nastaran
Kelly, Richard
Pan, Jinmei
Durand, Michael
Goh, Joslin
Scott, K. Andrea
author_sort Saberi, Nastaran
title The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
title_short The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
title_full The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
title_fullStr The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
title_full_unstemmed The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow
title_sort use of a monte carlo markov chain method for snow-depth retrievals: a case study based on airborne microwave observations and emission modeling experiments of tundra snow
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2021
url http://dx.doi.org/10.1109/tgrs.2020.3004594
http://xplorestaging.ieee.org/ielx7/36/9363036/09138727.pdf?arnumber=9138727
genre Tundra
genre_facet Tundra
op_source IEEE Transactions on Geoscience and Remote Sensing
volume 59, issue 3, page 1876-1889
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.2020.3004594
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 59
container_issue 3
container_start_page 1876
op_container_end_page 1889
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