Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
| Published in: | PLOS Climate |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867936032261931008 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | PLOS Climate |
| description | |
| discipline_display | Climate Change |
| discipline_facet | Climate Change |
| format | Online Article RSS Article |
| 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 |
| record_format | rss_article |
| 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 |