Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features

Bibliographic Details
Published in:Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
Main Authors: Li, Wenwen, Hsu, Chia-Yu, Wang, Sizhe, Witharana, Chandi, Liljedahl, Anna
Other Authors: National Science Foundation
Format: Conference Object
Language:unknown
Published: ACM 2022
Subjects:
Arctic
Ice
permafrost
wedge*
Online Access:http://dx.doi.org/10.1145/3557918.3565869
https://dl.acm.org/doi/pdf/10.1145/3557918.3565869
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spelling cracm:10.1145/3557918.3565869 2024-05-19T07:34:40+00:00 Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features the case of ice-wedge polygons Li, Wenwen Hsu, Chia-Yu Wang, Sizhe Witharana, Chandi Liljedahl, Anna National Science Foundation 2022 http://dx.doi.org/10.1145/3557918.3565869 https://dl.acm.org/doi/pdf/10.1145/3557918.3565869 unknown ACM http://www.acm.org/publications/policies/copyright_policy#Background Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery proceedings-article 2022 cracm https://doi.org/10.1145/3557918.3565869 2024-05-01T06:44:32Z Conference Object Arctic Ice permafrost wedge* ACM Publications (Association for Computing Machinery) Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery 62 65
institution Open Polar
collection ACM Publications (Association for Computing Machinery)
op_collection_id cracm
language unknown
author2 National Science Foundation
format Conference Object
author Li, Wenwen
Hsu, Chia-Yu
Wang, Sizhe
Witharana, Chandi
Liljedahl, Anna
spellingShingle Li, Wenwen
Hsu, Chia-Yu
Wang, Sizhe
Witharana, Chandi
Liljedahl, Anna
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
author_facet Li, Wenwen
Hsu, Chia-Yu
Wang, Sizhe
Witharana, Chandi
Liljedahl, Anna
author_sort Li, Wenwen
title Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
title_short Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
title_full Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
title_fullStr Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
title_full_unstemmed Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
title_sort real-time geoai for high-resolution mapping and segmentation of arctic permafrost features
publisher ACM
publishDate 2022
url http://dx.doi.org/10.1145/3557918.3565869
https://dl.acm.org/doi/pdf/10.1145/3557918.3565869
genre Arctic
Ice
permafrost
wedge*
genre_facet Arctic
Ice
permafrost
wedge*
op_source Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
op_rights http://www.acm.org/publications/policies/copyright_policy#Background
op_doi https://doi.org/10.1145/3557918.3565869
container_title Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
container_start_page 62
op_container_end_page 65
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