Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models

Bibliographic Details
Published in:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Rustemeyer, Felix, Barrott, Julia, Fielding, Matthew, Wickenden, Adam, Hugelius, Gustaf, Briassouli, Alexia
Format: Conference Object
Language:unknown
Published: IEEE 2022
Subjects:
permafrost
Online Access:http://dx.doi.org/10.1109/igarss46834.2022.9884869
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884869.pdf?arnumber=9884869
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spelling crieeecr:10.1109/igarss46834.2022.9884869 2024-10-06T13:52:04+00:00 Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models Rustemeyer, Felix Barrott, Julia Fielding, Matthew Wickenden, Adam Hugelius, Gustaf Briassouli, Alexia 2022 http://dx.doi.org/10.1109/igarss46834.2022.9884869 http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884869.pdf?arnumber=9884869 unknown IEEE https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium page 3838-3841 proceedings-article 2022 crieeecr https://doi.org/10.1109/igarss46834.2022.9884869 2024-09-09T05:23:56Z Conference Object permafrost IEEE Publications IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 3838 3841
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
format Conference Object
author Rustemeyer, Felix
Barrott, Julia
Fielding, Matthew
Wickenden, Adam
Hugelius, Gustaf
Briassouli, Alexia
spellingShingle Rustemeyer, Felix
Barrott, Julia
Fielding, Matthew
Wickenden, Adam
Hugelius, Gustaf
Briassouli, Alexia
Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
author_facet Rustemeyer, Felix
Barrott, Julia
Fielding, Matthew
Wickenden, Adam
Hugelius, Gustaf
Briassouli, Alexia
author_sort Rustemeyer, Felix
title Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
title_short Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
title_full Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
title_fullStr Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
title_full_unstemmed Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models
title_sort tracking rapid permafrost thaw through time: exploring the potential of convolutional neural network based models
publisher IEEE
publishDate 2022
url http://dx.doi.org/10.1109/igarss46834.2022.9884869
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884869.pdf?arnumber=9884869
genre permafrost
genre_facet permafrost
op_source IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
page 3838-3841
op_rights https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
op_doi https://doi.org/10.1109/igarss46834.2022.9884869
container_title IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
container_start_page 3838
op_container_end_page 3841
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