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Deep learning-based detection for thermokarst topography using the chopped picture method

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Bibliographic Details
Published in:Progress in Earth and Planetary Science
Format: Online Article RSS Article
Published: 2026
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container_title Progress in Earth and Planetary Science
description
discipline_display Physical Sciences
discipline_facet Physical Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:47922
institution FRELIP
journal_source_facet Progress in Earth and Planetary Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Deep learning-based detection for thermokarst topography using the chopped picture method
Earth Sciences
Earth Sciences
Physical Sciences
sub_discipline_display Earth Sciences
sub_discipline_facet Earth Sciences
subject_display Earth Sciences
Earth Sciences
Physical Sciences
Earth Sciences
Earth Sciences
Physical Sciences
subject_facet Earth Sciences
Earth Sciences
Physical Sciences
title Deep learning-based detection for thermokarst topography using the chopped picture method
title_auth Deep learning-based detection for thermokarst topography using the chopped picture method
title_full Deep learning-based detection for thermokarst topography using the chopped picture method
title_fullStr Deep learning-based detection for thermokarst topography using the chopped picture method
title_full_unstemmed Deep learning-based detection for thermokarst topography using the chopped picture method
title_short Deep learning-based detection for thermokarst topography using the chopped picture method
title_sort deep learning-based detection for thermokarst topography using the chopped picture method
topic Earth Sciences
Earth Sciences
Physical Sciences
url https://link.springer.com/article/10.1186/s40645-026-00805-y