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A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania

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Published in:PLOS Climate
Format: Online Article RSS Article
Published: 2026
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container_title PLOS Climate
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discipline_display Climate Change
discipline_facet Climate Change
format Online Article
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genre Journal Article
id rss_article:91278
institution FRELIP
journal_source_facet PLOS Climate
last_indexed 2026-06-14T02:03:22.160Z
publishDate 2026
publishDateSort 2026
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spellingShingle A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
Climate Change
General
Climate Change
sub_discipline_display General
sub_discipline_facet General
subject_display Climate Change
General
Climate Change
Climate Change
General
Climate Change
subject_facet Climate Change
General
Climate Change
title A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_auth A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_full A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_fullStr A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_full_unstemmed A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_short A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania
title_sort a hybrid machine learning framework for land use carbon accounting: a case study of tanzania
topic Climate Change
General
Climate Change
url https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000952