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| Published in: | Geoenvironmental Disasters |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868553803742052352 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Geoenvironmental Disasters |
| description | |
| discipline_display | Environmental Studies |
| discipline_facet | Environmental Studies |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:89048 |
| institution | FRELIP |
| journal_source_facet | Geoenvironmental Disasters |
| last_indexed | 2026-06-20T21:42:46.854Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China Environmental Studies General Environmental Studies |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Environmental Studies General Environmental Studies |
| subject_facet | Environmental Studies General Environmental Studies |
| title | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_alt | Mapeo de susceptibilidad a deslizamientos de tierra basado en muestreo estratificado de no deslizamientos a partir de petrofábrica geológica de ingeniería y modelos de impulso optimizados: un caso del distrito de Maiji, China Cartographie de la susceptibilité aux glissements de terrain basée sur un échantillonnage stratifié de non-glissements de terrain à partir du pétrofabri géologique d'ingénierie et de modèles de boosting optimisés : une étude de cas du district de Maiji, Chine Mapeamento de suscetibilidade a deslizamentos baseado em amostragem estratificada de não-deslizamentos a partir de petrofábrica geológica de engenharia e modelos de boosting otimizados: um caso do Distrito de Maiji, China |
| title_auth | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_es_txt | Mapeo de susceptibilidad a deslizamientos de tierra basado en muestreo estratificado de no deslizamientos a partir de petrofábrica geológica de ingeniería y modelos de impulso optimizados: un caso del distrito de Maiji, China |
| title_fr_txt | Cartographie de la susceptibilité aux glissements de terrain basée sur un échantillonnage stratifié de non-glissements de terrain à partir du pétrofabri géologique d'ingénierie et de modèles de boosting optimisés : une étude de cas du district de Maiji, Chine |
| title_full | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_fullStr | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_full_unstemmed | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_pt_txt | Mapeamento de suscetibilidade a deslizamentos baseado em amostragem estratificada de não-deslizamentos a partir de petrofábrica geológica de engenharia e modelos de boosting otimizados: um caso do Distrito de Maiji, China |
| title_short | Landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of Maiji District, China |
| title_sort | landslide susceptibility mapping based on stratified non-landslides sampling from engineering geological petrofabric and optimized boosting models: a case of maiji district, china |
| topic | Environmental Studies General Environmental Studies |
| url | https://link.springer.com/article/10.1186/s40677-026-00389-1 |