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Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India
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| Published in: | Journal of Earth System Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868757103133327360 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Earth System Science |
| description | |
| discipline_display | Earth Sciences |
| discipline_facet | Earth Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:94812 |
| institution | FRELIP |
| journal_source_facet | Journal of Earth System Science |
| last_indexed | 2026-06-23T03:34:12.665Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India Earth Sciences General Earth Sciences |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Earth Sciences General Earth Sciences |
| subject_facet | Earth Sciences General Earth Sciences |
| title | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_alt | Marco mejorado de mapeo de susceptibilidad a deslizamientos utilizando aprendizaje automático explicable y conjuntos de datos estadísticamente consistentes: un estudio de caso para una Carretera Nacional en Himachal Pradesh, India Cadre amélioré de cartographie de la susceptibilité aux glissements de terrain utilisant l'apprentissage automatique explicable et des ensembles de données statistiquement cohérents : une étude de cas pour une route nationale dans l'Himachal Pradesh, Inde Estrutura aprimorada de mapeamento de suscetibilidade a deslizamentos usando aprendizado de máquina explicável e conjuntos de dados estatisticamente consistentes: um estudo de caso para uma Rodovia Nacional em Himachal Pradesh, Índia |
| title_auth | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_es_txt | Marco mejorado de mapeo de susceptibilidad a deslizamientos utilizando aprendizaje automático explicable y conjuntos de datos estadísticamente consistentes: un estudio de caso para una Carretera Nacional en Himachal Pradesh, India |
| title_fr_txt | Cadre amélioré de cartographie de la susceptibilité aux glissements de terrain utilisant l'apprentissage automatique explicable et des ensembles de données statistiquement cohérents : une étude de cas pour une route nationale dans l'Himachal Pradesh, Inde |
| title_full | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_fullStr | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_full_unstemmed | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_pt_txt | Estrutura aprimorada de mapeamento de suscetibilidade a deslizamentos usando aprendizado de máquina explicável e conjuntos de dados estatisticamente consistentes: um estudo de caso para uma Rodovia Nacional em Himachal Pradesh, Índia |
| title_short | Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India |
| title_sort | improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a national highway in himachal pradesh, india |
| topic | Earth Sciences General Earth Sciences |
| url | https://link.springer.com/article/10.1007/s12040-026-02854-9 |